Overview

Dataset statistics

Number of variables619
Number of observations124313
Missing cells18657393
Missing cells (%)24.2%
Total size in memory239.4 MiB
Average record size in memory2.0 KiB

Variable types

Categorical59
Boolean481
Numeric71
DateTime5
Unsupported3

Alerts

CADULT1 has constant value "True"Constant
CCLGHOUS has constant value "True"Constant
CELLFON5 has constant value "True"Constant
COLGHOUS has constant value "True"Constant
COVIDPOS has constant value "True"Constant
CTELENM1 has constant value "True"Constant
CTELNUM1 has constant value "True"Constant
SAFETIME has constant value "True"Constant
STATERE1 has constant value "True"Constant
ACEADNED is highly imbalanced (60.7%)Imbalance
ACEHVSEX is highly imbalanced (75.1%)Imbalance
ACEPRISN is highly imbalanced (54.8%)Imbalance
ACETOUCH is highly imbalanced (54.5%)Imbalance
ACETTHEM is highly imbalanced (63.2%)Imbalance
ASBIRDUC is highly imbalanced (62.2%)Imbalance
BLIND is highly imbalanced (70.7%)Imbalance
CELPHON1 is highly imbalanced (99.8%)Imbalance
CHCCOPD3 is highly imbalanced (62.0%)Imbalance
CHCKDNY2 is highly imbalanced (74.4%)Imbalance
CHCOCNC1 is highly imbalanced (53.5%)Imbalance
CHCSCNC1 is highly imbalanced (63.2%)Imbalance
CHECKUP1 is highly imbalanced (56.4%)Imbalance
CRVCLPAP is highly imbalanced (70.8%)Imbalance
CSRVCLIN is highly imbalanced (71.0%)Imbalance
CSRVDEIN is highly imbalanced (65.2%)Imbalance
CSRVINSR is highly imbalanced (74.5%)Imbalance
CSRVPAIN is highly imbalanced (52.9%)Imbalance
CSTATE1 is highly imbalanced (67.9%)Imbalance
CVDCRHD4 is highly imbalanced (69.5%)Imbalance
CVDINFR4 is highly imbalanced (72.1%)Imbalance
CVDSTRK3 is highly imbalanced (77.7%)Imbalance
DEAF is highly imbalanced (60.5%)Imbalance
DIABETE4 is highly imbalanced (60.0%)Imbalance
DIFFALON is highly imbalanced (63.8%)Imbalance
DIFFDRES is highly imbalanced (78.5%)Imbalance
FEETSORE is highly imbalanced (51.7%)Imbalance
FOODSTMP is highly imbalanced (51.9%)Imbalance
HIVRISK5 is highly imbalanced (67.7%)Imbalance
LADULT1 is highly imbalanced (98.1%)Imbalance
MARJOTHR is highly imbalanced (66.3%)Imbalance
MEDCOST1 is highly imbalanced (54.7%)Imbalance
NUMHHOL4 is highly imbalanced (62.6%)Imbalance
PREDIAB2 is highly imbalanced (56.2%)Imbalance
PREGNANT is highly imbalanced (80.5%)Imbalance
PVTRESD1 is highly imbalanced (99.6%)Imbalance
PVTRESD3 is highly imbalanced (96.0%)Imbalance
RRATWRK2 is highly imbalanced (66.2%)Imbalance
RRHCARE4 is highly imbalanced (60.1%)Imbalance
RRPHYSM2 is highly imbalanced (78.6%)Imbalance
SDHFOOD1 is highly imbalanced (53.5%)Imbalance
SDHTRNSP is highly imbalanced (65.0%)Imbalance
SDHUTILS is highly imbalanced (61.8%)Imbalance
USENOW3 is highly imbalanced (84.5%)Imbalance
VETERAN3 is highly imbalanced (50.9%)Imbalance
STATE_1 is highly imbalanced (90.9%)Imbalance
STATE_2 is highly imbalanced (89.2%)Imbalance
STATE_4 is highly imbalanced (84.6%)Imbalance
STATE_5 is highly imbalanced (91.1%)Imbalance
STATE_6 is highly imbalanced (82.9%)Imbalance
STATE_8 is highly imbalanced (85.1%)Imbalance
STATE_9 is highly imbalanced (83.9%)Imbalance
STATE_10 is highly imbalanced (92.8%)Imbalance
STATE_11 is highly imbalanced (95.1%)Imbalance
STATE_12 is highly imbalanced (81.6%)Imbalance
STATE_13 is highly imbalanced (85.6%)Imbalance
STATE_15 is highly imbalanced (88.8%)Imbalance
STATE_16 is highly imbalanced (88.6%)Imbalance
STATE_17 is highly imbalanced (92.0%)Imbalance
STATE_18 is highly imbalanced (84.6%)Imbalance
STATE_19 is highly imbalanced (85.4%)Imbalance
STATE_20 is highly imbalanced (82.6%)Imbalance
STATE_21 is highly imbalanced (91.7%)Imbalance
STATE_22 is highly imbalanced (89.0%)Imbalance
STATE_23 is highly imbalanced (86.0%)Imbalance
STATE_24 is highly imbalanced (79.6%)Imbalance
STATE_25 is highly imbalanced (82.2%)Imbalance
STATE_26 is highly imbalanced (86.0%)Imbalance
STATE_27 is highly imbalanced (76.2%)Imbalance
STATE_28 is highly imbalanced (90.0%)Imbalance
STATE_29 is highly imbalanced (86.8%)Imbalance
STATE_30 is highly imbalanced (87.3%)Imbalance
STATE_31 is highly imbalanced (87.8%)Imbalance
STATE_32 is highly imbalanced (93.7%)Imbalance
STATE_33 is highly imbalanced (91.2%)Imbalance
STATE_34 is highly imbalanced (87.0%)Imbalance
STATE_35 is highly imbalanced (91.7%)Imbalance
STATE_36 is highly imbalanced (75.2%)Imbalance
STATE_37 is highly imbalanced (91.4%)Imbalance
STATE_38 is highly imbalanced (91.1%)Imbalance
STATE_39 is highly imbalanced (76.6%)Imbalance
STATE_40 is highly imbalanced (88.6%)Imbalance
STATE_41 is highly imbalanced (91.4%)Imbalance
STATE_42 is highly imbalanced (90.7%)Imbalance
STATE_44 is highly imbalanced (90.2%)Imbalance
STATE_45 is highly imbalanced (85.4%)Imbalance
STATE_46 is highly imbalanced (85.7%)Imbalance
STATE_47 is highly imbalanced (89.6%)Imbalance
STATE_48 is highly imbalanced (79.7%)Imbalance
STATE_49 is highly imbalanced (82.9%)Imbalance
STATE_50 is highly imbalanced (88.3%)Imbalance
STATE_51 is highly imbalanced (85.6%)Imbalance
STATE_53 is highly imbalanced (71.3%)Imbalance
STATE_54 is highly imbalanced (89.9%)Imbalance
STATE_55 is highly imbalanced (82.9%)Imbalance
STATE_56 is highly imbalanced (92.1%)Imbalance
STATE_66 is highly imbalanced (95.9%)Imbalance
STATE_72 is highly imbalanced (87.7%)Imbalance
STATE_78 is highly imbalanced (96.9%)Imbalance
FMONTH_1 is highly imbalanced (66.2%)Imbalance
FMONTH_2 is highly imbalanced (68.6%)Imbalance
FMONTH_3 is highly imbalanced (65.5%)Imbalance
FMONTH_4 is highly imbalanced (67.0%)Imbalance
FMONTH_5 is highly imbalanced (65.3%)Imbalance
FMONTH_6 is highly imbalanced (60.8%)Imbalance
FMONTH_7 is highly imbalanced (58.1%)Imbalance
FMONTH_8 is highly imbalanced (54.4%)Imbalance
FMONTH_9 is highly imbalanced (52.9%)Imbalance
FMONTH_10 is highly imbalanced (52.6%)Imbalance
FMONTH_12 is highly imbalanced (53.1%)Imbalance
IMONTH_1 is highly imbalanced (57.6%)Imbalance
IMONTH_2 is highly imbalanced (66.4%)Imbalance
IMONTH_3 is highly imbalanced (66.2%)Imbalance
IMONTH_4 is highly imbalanced (68.0%)Imbalance
IMONTH_5 is highly imbalanced (62.0%)Imbalance
IMONTH_6 is highly imbalanced (61.1%)Imbalance
IMONTH_7 is highly imbalanced (60.6%)Imbalance
IMONTH_8 is highly imbalanced (53.5%)Imbalance
IMONTH_9 is highly imbalanced (56.3%)Imbalance
IMONTH_10 is highly imbalanced (55.2%)Imbalance
IMONTH_11 is highly imbalanced (52.9%)Imbalance
QSTVER_10 is highly imbalanced (56.0%)Imbalance
QSTVER_11 is highly imbalanced (83.9%)Imbalance
QSTVER_12 is highly imbalanced (84.8%)Imbalance
QSTVER_13 is highly imbalanced (93.9%)Imbalance
QSTVER_23 is highly imbalanced (77.3%)Imbalance
QSTLANG_1 is highly imbalanced (74.8%)Imbalance
QSTLANG_2 is highly imbalanced (74.8%)Imbalance
MSCODE_1.0 is highly imbalanced (75.6%)Imbalance
MSCODE_2.0 is highly imbalanced (84.0%)Imbalance
MSCODE_3.0 is highly imbalanced (83.5%)Imbalance
MSCODE_5.0 is highly imbalanced (70.5%)Imbalance
IDAY_1 is highly imbalanced (81.3%)Imbalance
IDAY_2 is highly imbalanced (79.9%)Imbalance
IDAY_3 is highly imbalanced (79.6%)Imbalance
IDAY_4 is highly imbalanced (80.5%)Imbalance
IDAY_5 is highly imbalanced (79.4%)Imbalance
IDAY_6 is highly imbalanced (79.5%)Imbalance
IDAY_7 is highly imbalanced (78.8%)Imbalance
IDAY_8 is highly imbalanced (78.6%)Imbalance
IDAY_9 is highly imbalanced (77.3%)Imbalance
IDAY_10 is highly imbalanced (78.2%)Imbalance
IDAY_11 is highly imbalanced (78.1%)Imbalance
IDAY_12 is highly imbalanced (77.9%)Imbalance
IDAY_13 is highly imbalanced (78.1%)Imbalance
IDAY_14 is highly imbalanced (78.0%)Imbalance
IDAY_15 is highly imbalanced (78.2%)Imbalance
IDAY_16 is highly imbalanced (78.1%)Imbalance
IDAY_17 is highly imbalanced (79.4%)Imbalance
IDAY_18 is highly imbalanced (78.8%)Imbalance
IDAY_19 is highly imbalanced (78.0%)Imbalance
IDAY_20 is highly imbalanced (78.2%)Imbalance
IDAY_21 is highly imbalanced (76.9%)Imbalance
IDAY_22 is highly imbalanced (77.6%)Imbalance
IDAY_23 is highly imbalanced (79.3%)Imbalance
IDAY_24 is highly imbalanced (82.2%)Imbalance
IDAY_25 is highly imbalanced (81.7%)Imbalance
IDAY_26 is highly imbalanced (79.5%)Imbalance
IDAY_27 is highly imbalanced (80.1%)Imbalance
IDAY_28 is highly imbalanced (78.8%)Imbalance
IDAY_29 is highly imbalanced (80.3%)Imbalance
IDAY_30 is highly imbalanced (82.7%)Imbalance
IDAY_31 is highly imbalanced (89.0%)Imbalance
LANDSEX1_1.0 is highly imbalanced (88.1%)Imbalance
LANDSEX1_2.0 is highly imbalanced (77.4%)Imbalance
LANDSEX1_3.0 is highly imbalanced (> 99.9%)Imbalance
CELLSEX1_3.0 is highly imbalanced (99.1%)Imbalance
RENTHOM1_3.0 is highly imbalanced (71.2%)Imbalance
COLNSIGM_2.0 is highly imbalanced (97.5%)Imbalance
COLNSIGM_3.0 is highly imbalanced (66.9%)Imbalance
DIABTYPE_1.0 is highly imbalanced (97.6%)Imbalance
DIABTYPE_2.0 is highly imbalanced (84.2%)Imbalance
CSRVTRT3_1.0 is highly imbalanced (95.6%)Imbalance
CSRVTRT3_2.0 is highly imbalanced (85.0%)Imbalance
CSRVTRT3_3.0 is highly imbalanced (99.7%)Imbalance
CSRVTRT3_4.0 is highly imbalanced (98.6%)Imbalance
CSRVTRT3_5.0 is highly imbalanced (92.3%)Imbalance
PCPSARS2_1.0 is highly imbalanced (93.7%)Imbalance
PCPSARS2_2.0 is highly imbalanced (98.9%)Imbalance
PCPSARS2_3.0 is highly imbalanced (99.3%)Imbalance
PSASUGST_1.0 is highly imbalanced (99.0%)Imbalance
PSASUGST_2.0 is highly imbalanced (93.7%)Imbalance
PSASUGST_3.0 is highly imbalanced (99.3%)Imbalance
PCSTALK1_1.0 is highly imbalanced (98.4%)Imbalance
PCSTALK1_2.0 is highly imbalanced (99.9%)Imbalance
PCSTALK1_3.0 is highly imbalanced (95.8%)Imbalance
PCSTALK1_4.0 is highly imbalanced (94.1%)Imbalance
RCSXBRTH_1.0 is highly imbalanced (98.9%)Imbalance
RCSXBRTH_2.0 is highly imbalanced (98.8%)Imbalance
RCSRLTN2_2.0 is highly imbalanced (88.7%)Imbalance
RCSRLTN2_3.0 is highly imbalanced (97.3%)Imbalance
RCSRLTN2_4.0 is highly imbalanced (92.9%)Imbalance
RCSRLTN2_5.0 is highly imbalanced (95.4%)Imbalance
RCSRLTN2_6.0 is highly imbalanced (97.3%)Imbalance
BIRTHSEX_1.0 is highly imbalanced (57.0%)Imbalance
BIRTHSEX_2.0 is highly imbalanced (52.7%)Imbalance
SOMALE_1.0 is highly imbalanced (94.0%)Imbalance
SOMALE_3.0 is highly imbalanced (94.3%)Imbalance
SOMALE_4.0 is highly imbalanced (96.4%)Imbalance
SOFEMALE_1.0 is highly imbalanced (95.2%)Imbalance
SOFEMALE_3.0 is highly imbalanced (87.7%)Imbalance
SOFEMALE_4.0 is highly imbalanced (94.4%)Imbalance
TRNSGNDR_1.0 is highly imbalanced (98.8%)Imbalance
TRNSGNDR_2.0 is highly imbalanced (98.6%)Imbalance
TRNSGNDR_3.0 is highly imbalanced (98.3%)Imbalance
PRIMINSR_0 is highly imbalanced (72.8%)Imbalance
PRIMINSR_2.0 is highly imbalanced (57.6%)Imbalance
PRIMINSR_4.0 is highly imbalanced (98.8%)Imbalance
PRIMINSR_5.0 is highly imbalanced (63.2%)Imbalance
PRIMINSR_6.0 is highly imbalanced (99.5%)Imbalance
PRIMINSR_7.0 is highly imbalanced (78.8%)Imbalance
PRIMINSR_8.0 is highly imbalanced (95.9%)Imbalance
PRIMINSR_9.0 is highly imbalanced (80.7%)Imbalance
PRIMINSR_10.0 is highly imbalanced (84.0%)Imbalance
MARITAL_3.0 is highly imbalanced (62.7%)Imbalance
MARITAL_4.0 is highly imbalanced (85.5%)Imbalance
MARITAL_6.0 is highly imbalanced (71.3%)Imbalance
EMPLOY1_2.0 is highly imbalanced (57.6%)Imbalance
EMPLOY1_3.0 is highly imbalanced (87.6%)Imbalance
EMPLOY1_4.0 is highly imbalanced (85.6%)Imbalance
EMPLOY1_5.0 is highly imbalanced (77.0%)Imbalance
EMPLOY1_6.0 is highly imbalanced (79.4%)Imbalance
EMPLOY1_8.0 is highly imbalanced (69.9%)Imbalance
RCSGEND1_1.0 is highly imbalanced (54.7%)Imbalance
RCSGEND1_2.0 is highly imbalanced (56.7%)Imbalance
RCSGEND1_3.0 is highly imbalanced (99.4%)Imbalance
COVIDPRM_1.0 is highly imbalanced (68.5%)Imbalance
COVIDPRM_2.0 is highly imbalanced (85.5%)Imbalance
COVIDPRM_3.0 is highly imbalanced (76.5%)Imbalance
COVIDPRM_4.0 is highly imbalanced (91.2%)Imbalance
COVIDPRM_5.0 is highly imbalanced (94.8%)Imbalance
COVIDPRM_6.0 is highly imbalanced (96.8%)Imbalance
COVIDPRM_7.0 is highly imbalanced (97.4%)Imbalance
COVIDPRM_8.0 is highly imbalanced (98.0%)Imbalance
COVIDPRM_9.0 is highly imbalanced (91.3%)Imbalance
COVIDPRM_10.0 is highly imbalanced (78.6%)Imbalance
COVIDPRM_11.0 is highly imbalanced (85.7%)Imbalance
IMFVPLA3_1.0 is highly imbalanced (94.1%)Imbalance
IMFVPLA3_2.0 is highly imbalanced (99.3%)Imbalance
IMFVPLA3_3.0 is highly imbalanced (98.9%)Imbalance
IMFVPLA3_4.0 is highly imbalanced (99.9%)Imbalance
IMFVPLA3_5.0 is highly imbalanced (92.2%)Imbalance
IMFVPLA3_6.0 is highly imbalanced (98.7%)Imbalance
IMFVPLA3_7.0 is highly imbalanced (> 99.9%)Imbalance
IMFVPLA3_8.0 is highly imbalanced (98.5%)Imbalance
IMFVPLA3_9.0 is highly imbalanced (99.5%)Imbalance
IMFVPLA3_10.0 is highly imbalanced (99.7%)Imbalance
IMFVPLA3_11.0 is highly imbalanced (99.9%)Imbalance
CNCRTYP2_1.0 is highly imbalanced (99.3%)Imbalance
CNCRTYP2_2.0 is highly imbalanced (99.7%)Imbalance
CNCRTYP2_3.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_4.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_5.0 is highly imbalanced (94.7%)Imbalance
CNCRTYP2_6.0 is highly imbalanced (98.3%)Imbalance
CNCRTYP2_7.0 is highly imbalanced (98.6%)Imbalance
CNCRTYP2_8.0 is highly imbalanced (99.9%)Imbalance
CNCRTYP2_9.0 is highly imbalanced (> 99.9%)Imbalance
CNCRTYP2_10.0 is highly imbalanced (99.2%)Imbalance
CNCRTYP2_11.0 is highly imbalanced (99.9%)Imbalance
CNCRTYP2_12.0 is highly imbalanced (99.3%)Imbalance
CNCRTYP2_13.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_14.0 is highly imbalanced (98.9%)Imbalance
CNCRTYP2_15.0 is highly imbalanced (98.8%)Imbalance
CNCRTYP2_16.0 is highly imbalanced (94.6%)Imbalance
CNCRTYP2_17.0 is highly imbalanced (99.9%)Imbalance
CNCRTYP2_18.0 is highly imbalanced (99.5%)Imbalance
CNCRTYP2_19.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_20.0 is highly imbalanced (96.5%)Imbalance
CNCRTYP2_21.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_22.0 is highly imbalanced (89.3%)Imbalance
CNCRTYP2_23.0 is highly imbalanced (97.0%)Imbalance
CNCRTYP2_24.0 is highly imbalanced (99.9%)Imbalance
CNCRTYP2_25.0 is highly imbalanced (99.8%)Imbalance
CNCRTYP2_26.0 is highly imbalanced (99.7%)Imbalance
CNCRTYP2_27.0 is highly imbalanced (99.7%)Imbalance
CNCRTYP2_28.0 is highly imbalanced (98.8%)Imbalance
CNCRTYP2_29.0 is highly imbalanced (99.0%)Imbalance
CNCRTYP2_30.0 is highly imbalanced (97.1%)Imbalance
CSRVDOC1_1.0 is highly imbalanced (99.1%)Imbalance
CSRVDOC1_2.0 is highly imbalanced (92.9%)Imbalance
CSRVDOC1_3.0 is highly imbalanced (99.6%)Imbalance
CSRVDOC1_4.0 is highly imbalanced (99.4%)Imbalance
CSRVDOC1_5.0 is highly imbalanced (94.9%)Imbalance
CSRVDOC1_6.0 is highly imbalanced (99.8%)Imbalance
CSRVDOC1_7.0 is highly imbalanced (98.7%)Imbalance
CSRVDOC1_8.0 is highly imbalanced (99.8%)Imbalance
CSRVDOC1_9.0 is highly imbalanced (99.5%)Imbalance
CSRVDOC1_10.0 is highly imbalanced (96.8%)Imbalance
CRGVREL4_1.0 is highly imbalanced (90.9%)Imbalance
CRGVREL4_2.0 is highly imbalanced (96.0%)Imbalance
CRGVREL4_3.0 is highly imbalanced (97.8%)Imbalance
CRGVREL4_4.0 is highly imbalanced (99.1%)Imbalance
CRGVREL4_5.0 is highly imbalanced (94.9%)Imbalance
CRGVREL4_6.0 is highly imbalanced (95.6%)Imbalance
CRGVREL4_7.0 is highly imbalanced (95.9%)Imbalance
CRGVREL4_8.0 is highly imbalanced (99.2%)Imbalance
CRGVREL4_9.0 is highly imbalanced (98.3%)Imbalance
CRGVREL4_10.0 is highly imbalanced (97.9%)Imbalance
CRGVREL4_11.0 is highly imbalanced (97.8%)Imbalance
CRGVREL4_12.0 is highly imbalanced (99.1%)Imbalance
CRGVREL4_13.0 is highly imbalanced (99.3%)Imbalance
CRGVREL4_14.0 is highly imbalanced (96.7%)Imbalance
CRGVREL4_15.0 is highly imbalanced (94.0%)Imbalance
CRGVPRB3_1.0 is highly imbalanced (98.3%)Imbalance
CRGVPRB3_2.0 is highly imbalanced (99.7%)Imbalance
CRGVPRB3_3.0 is highly imbalanced (96.2%)Imbalance
CRGVPRB3_4.0 is highly imbalanced (98.2%)Imbalance
CRGVPRB3_5.0 is highly imbalanced (95.1%)Imbalance
CRGVPRB3_6.0 is highly imbalanced (97.2%)Imbalance
CRGVPRB3_7.0 is highly imbalanced (97.7%)Imbalance
CRGVPRB3_8.0 is highly imbalanced (96.2%)Imbalance
CRGVPRB3_9.0 is highly imbalanced (99.9%)Imbalance
CRGVPRB3_10.0 is highly imbalanced (97.5%)Imbalance
CRGVPRB3_11.0 is highly imbalanced (98.5%)Imbalance
CRGVPRB3_12.0 is highly imbalanced (99.7%)Imbalance
CRGVPRB3_13.0 is highly imbalanced (97.2%)Imbalance
CRGVPRB3_14.0 is highly imbalanced (94.4%)Imbalance
CRGVPRB3_15.0 is highly imbalanced (89.2%)Imbalance
TYPCNTR9_1.0 is highly imbalanced (94.9%)Imbalance
TYPCNTR9_2.0 is highly imbalanced (95.0%)Imbalance
TYPCNTR9_3.0 is highly imbalanced (98.5%)Imbalance
TYPCNTR9_4.0 is highly imbalanced (93.6%)Imbalance
TYPCNTR9_5.0 is highly imbalanced (99.2%)Imbalance
TYPCNTR9_6.0 is highly imbalanced (92.9%)Imbalance
TYPCNTR9_7.0 is highly imbalanced (94.2%)Imbalance
TYPCNTR9_8.0 is highly imbalanced (99.9%)Imbalance
TYPCNTR9_9.0 is highly imbalanced (99.3%)Imbalance
TYPCNTR9_10.0 is highly imbalanced (97.3%)Imbalance
TYPCNTR9_11.0 is highly imbalanced (99.8%)Imbalance
TYPCNTR9_12.0 is highly imbalanced (98.7%)Imbalance
BRTHCNT4_0.0 is highly imbalanced (82.9%)Imbalance
BRTHCNT4_1.0 is highly imbalanced (98.8%)Imbalance
BRTHCNT4_2.0 is highly imbalanced (98.4%)Imbalance
BRTHCNT4_3.0 is highly imbalanced (99.6%)Imbalance
BRTHCNT4_4.0 is highly imbalanced (98.0%)Imbalance
BRTHCNT4_5.0 is highly imbalanced (99.8%)Imbalance
BRTHCNT4_6.0 is highly imbalanced (97.4%)Imbalance
BRTHCNT4_7.0 is highly imbalanced (96.4%)Imbalance
BRTHCNT4_8.0 is highly imbalanced (99.9%)Imbalance
BRTHCNT4_9.0 is highly imbalanced (99.4%)Imbalance
BRTHCNT4_10.0 is highly imbalanced (97.8%)Imbalance
BRTHCNT4_11.0 is highly imbalanced (99.7%)Imbalance
BRTHCNT4_12.0 is highly imbalanced (99.1%)Imbalance
WHEREGET_1.0 is highly imbalanced (86.8%)Imbalance
WHEREGET_2.0 is highly imbalanced (98.1%)Imbalance
WHEREGET_3.0 is highly imbalanced (98.5%)Imbalance
WHEREGET_4.0 is highly imbalanced (99.8%)Imbalance
WHEREGET_5.0 is highly imbalanced (95.2%)Imbalance
WHEREGET_6.0 is highly imbalanced (99.9%)Imbalance
WHEREGET_7.0 is highly imbalanced (95.3%)Imbalance
WHEREGET_8.0 is highly imbalanced (99.5%)Imbalance
WHEREGET_9.0 is highly imbalanced (99.4%)Imbalance
WHEREGET_10.0 is highly imbalanced (98.5%)Imbalance
NOBCUSE8_1.0 is highly imbalanced (99.6%)Imbalance
NOBCUSE8_2.0 is highly imbalanced (99.1%)Imbalance
NOBCUSE8_3.0 is highly imbalanced (97.2%)Imbalance
NOBCUSE8_4.0 is highly imbalanced (99.1%)Imbalance
NOBCUSE8_5.0 is highly imbalanced (99.7%)Imbalance
NOBCUSE8_6.0 is highly imbalanced (99.9%)Imbalance
NOBCUSE8_8.0 is highly imbalanced (98.2%)Imbalance
NOBCUSE8_9.0 is highly imbalanced (99.8%)Imbalance
NOBCUSE8_10.0 is highly imbalanced (97.8%)Imbalance
NOBCUSE8_11.0 is highly imbalanced (99.5%)Imbalance
NOBCUSE8_12.0 is highly imbalanced (99.8%)Imbalance
NOBCUSE8_13.0 is highly imbalanced (> 99.9%)Imbalance
NOBCUSE8_14.0 is highly imbalanced (97.9%)Imbalance
BCPREFER_1.0 is highly imbalanced (95.8%)Imbalance
BCPREFER_2.0 is highly imbalanced (95.1%)Imbalance
BCPREFER_3.0 is highly imbalanced (98.3%)Imbalance
BCPREFER_4.0 is highly imbalanced (92.5%)Imbalance
BCPREFER_5.0 is highly imbalanced (98.0%)Imbalance
BCPREFER_6.0 is highly imbalanced (91.4%)Imbalance
BCPREFER_7.0 is highly imbalanced (95.8%)Imbalance
BCPREFER_8.0 is highly imbalanced (99.8%)Imbalance
BCPREFER_9.0 is highly imbalanced (99.3%)Imbalance
BCPREFER_10.0 is highly imbalanced (99.2%)Imbalance
BCPREFER_11.0 is highly imbalanced (99.9%)Imbalance
BCPREFER_12.0 is highly imbalanced (98.4%)Imbalance
BCPREFER_13.0 is highly imbalanced (95.2%)Imbalance
BCPREFER_14.0 is highly imbalanced (95.8%)Imbalance
RRCLASS3_2.0 is highly imbalanced (78.0%)Imbalance
RRCLASS3_3.0 is highly imbalanced (84.3%)Imbalance
RRCLASS3_4.0 is highly imbalanced (93.9%)Imbalance
RRCLASS3_5.0 is highly imbalanced (99.2%)Imbalance
RRCLASS3_6.0 is highly imbalanced (95.4%)Imbalance
RRCLASS3_7.0 is highly imbalanced (97.5%)Imbalance
RRCLASS3_8.0 is highly imbalanced (96.0%)Imbalance
ACEADNED has 110005 (88.5%) missing valuesMissing
ACEADSAF has 110018 (88.5%) missing valuesMissing
ACEDEPRS has 109954 (88.4%) missing valuesMissing
ACEDIVRC has 110163 (88.6%) missing valuesMissing
ACEDRINK has 109889 (88.4%) missing valuesMissing
ACEDRUGS has 109929 (88.4%) missing valuesMissing
ACEHURT1 has 110047 (88.5%) missing valuesMissing
ACEHVSEX has 110119 (88.6%) missing valuesMissing
ACEPRISN has 109884 (88.4%) missing valuesMissing
ACEPUNCH has 110101 (88.6%) missing valuesMissing
ACESWEAR has 110115 (88.6%) missing valuesMissing
ACETOUCH has 110108 (88.6%) missing valuesMissing
ACETTHEM has 110098 (88.6%) missing valuesMissing
ASBIADVC has 105286 (84.7%) missing valuesMissing
ASBIALCH has 105480 (84.9%) missing valuesMissing
ASBIBING has 108061 (86.9%) missing valuesMissing
ASBIDRNK has 105612 (85.0%) missing valuesMissing
ASBIRDUC has 108205 (87.0%) missing valuesMissing
ASTHNOW has 103246 (83.1%) missing valuesMissing
AVEDRNK3 has 55417 (44.6%) missing valuesMissing
BCPREFER has 117986 (94.9%) missing valuesMissing
BIRTHSEX has 100775 (81.1%) missing valuesMissing
BLDSTFIT has 121846 (98.0%) missing valuesMissing
BRTHCNT4 has 119287 (96.0%) missing valuesMissing
CADULT1 has 17856 (14.4%) missing valuesMissing
CAGEG has 103258 (83.1%) missing valuesMissing
CAREGIV1 has 94096 (75.7%) missing valuesMissing
CASTHDX2 has 104172 (83.8%) missing valuesMissing
CASTHNO2 has 121886 (98.0%) missing valuesMissing
CCLGHOUS has 123859 (99.6%) missing valuesMissing
CDASSIST has 122058 (98.2%) missing valuesMissing
CDDISCUS has 122070 (98.2%) missing valuesMissing
CDHELP has 123720 (99.5%) missing valuesMissing
CDHOUSE has 122060 (98.2%) missing valuesMissing
CDSOCIAL has 122067 (98.2%) missing valuesMissing
CELLFON5 has 17855 (14.4%) missing valuesMissing
CELLSEX1 has 17904 (14.4%) missing valuesMissing
CELPHON1 has 106456 (85.6%) missing valuesMissing
CERVSCRN has 61468 (49.4%) missing valuesMissing
CHECKUP1 has 1838 (1.5%) missing valuesMissing
CHKHEMO3 has 121067 (97.4%) missing valuesMissing
CIMEMLOS has 107676 (86.6%) missing valuesMissing
CNCRAGE has 118492 (95.3%) missing valuesMissing
CNCRDIFF has 118222 (95.1%) missing valuesMissing
CNCRTYP2 has 118454 (95.3%) missing valuesMissing
COLGHOUS has 124307 (> 99.9%) missing valuesMissing
COLGSEX1 has 124306 (> 99.9%) missing valuesMissing
COLNCNCR has 50056 (40.3%) missing valuesMissing
COLNSIGM has 69608 (56.0%) missing valuesMissing
COLNTES1 has 70785 (56.9%) missing valuesMissing
COPDBRTH has 121994 (98.1%) missing valuesMissing
COPDBTST has 122018 (98.2%) missing valuesMissing
COPDCOGH has 121984 (98.1%) missing valuesMissing
COPDFLEM has 121990 (98.1%) missing valuesMissing
COPDSMOK has 122064 (98.2%) missing valuesMissing
COVACGET has 114714 (92.3%) missing valuesMissing
COVIDFS1 has 91988 (74.0%) missing valuesMissing
COVIDINT has 121376 (97.6%) missing valuesMissing
COVIDNU1 has 85903 (69.1%) missing valuesMissing
COVIDPRM has 98731 (79.4%) missing valuesMissing
COVIDSE1 has 95152 (76.5%) missing valuesMissing
COVIDSMP has 2934 (2.4%) missing valuesMissing
COVIDVA1 has 75812 (61.0%) missing valuesMissing
CRGVALZD has 118694 (95.5%) missing valuesMissing
CRGVEXPT has 102141 (82.2%) missing valuesMissing
CRGVHOU1 has 117923 (94.9%) missing valuesMissing
CRGVHRS1 has 118270 (95.1%) missing valuesMissing
CRGVLNG1 has 117901 (94.8%) missing valuesMissing
CRGVPER1 has 117907 (94.8%) missing valuesMissing
CRGVPRB3 has 118132 (95.0%) missing valuesMissing
CRGVREL4 has 117846 (94.8%) missing valuesMissing
CRVCLCNC has 82919 (66.7%) missing valuesMissing
CRVCLHPV has 93272 (75.0%) missing valuesMissing
CRVCLPAP has 82284 (66.2%) missing valuesMissing
CSRVCLIN has 121695 (97.9%) missing valuesMissing
CSRVCTL2 has 123875 (99.6%) missing valuesMissing
CSRVDEIN has 121682 (97.9%) missing valuesMissing
CSRVDOC1 has 121709 (97.9%) missing valuesMissing
CSRVINSR has 121692 (97.9%) missing valuesMissing
CSRVINST has 122411 (98.5%) missing valuesMissing
CSRVPAIN has 119785 (96.4%) missing valuesMissing
CSRVRTRN has 121708 (97.9%) missing valuesMissing
CSRVSUM has 121822 (98.0%) missing valuesMissing
CSRVTRT3 has 119693 (96.3%) missing valuesMissing
CSTATE1 has 17860 (14.4%) missing valuesMissing
CTELENM1 has 106458 (85.6%) missing valuesMissing
CTELNUM1 has 17855 (14.4%) missing valuesMissing
DIABAGE4 has 107980 (86.9%) missing valuesMissing
DIABEDU1 has 121072 (97.4%) missing valuesMissing
DIABEYE1 has 121333 (97.6%) missing valuesMissing
DIABTYPE has 121161 (97.5%) missing valuesMissing
DRNK3GE5 has 55614 (44.7%) missing valuesMissing
DRNKANY6 has 1396 (1.1%) missing valuesMissing
DROCDY4_ has 1396 (1.1%) missing valuesMissing
EMTSUPRT has 45647 (36.7%) missing valuesMissing
EYEEXAM1 has 120989 (97.3%) missing valuesMissing
FEETSORE has 120929 (97.3%) missing valuesMissing
FIREARM5 has 112059 (90.1%) missing valuesMissing
FLSHTMY3 has 69741 (56.1%) missing valuesMissing
FOODSTMP has 45337 (36.5%) missing valuesMissing
GUNLOAD has 119654 (96.3%) missing valuesMissing
HADHYST2 has 58122 (46.8%) missing valuesMissing
HADMAM has 57168 (46.0%) missing valuesMissing
HADSEX has 115970 (93.3%) missing valuesMissing
HADSIGM4 has 48574 (39.1%) missing valuesMissing
HAVECFS has 124313 (100.0%) missing valuesMissing
HEATTBCO has 119834 (96.4%) missing valuesMissing
HHADULT has 18076 (14.5%) missing valuesMissing
HIVTST7 has 5857 (4.7%) missing valuesMissing
HIVTSTD3 has 90347 (72.7%) missing valuesMissing
HOWLONG has 76845 (61.8%) missing valuesMissing
HPVADSHT has 123729 (99.5%) missing valuesMissing
HPVADVC4 has 121741 (97.9%) missing valuesMissing
HTM4 has 2302 (1.9%) missing valuesMissing
IMFVPLA3 has 121682 (97.9%) missing valuesMissing
INCOME3 has 19424 (15.6%) missing valuesMissing
INSULIN1 has 120931 (97.3%) missing valuesMissing
LADULT1 has 106458 (85.6%) missing valuesMissing
LANDLINE has 18202 (14.6%) missing valuesMissing
LANDSEX1 has 117771 (94.7%) missing valuesMissing
LASTDEN4 has 2217 (1.8%) missing valuesMissing
LASTSIG4 has 123714 (99.5%) missing valuesMissing
LASTSMK2 has 110628 (89.0%) missing valuesMissing
LCSCTSC1 has 4707 (3.8%) missing valuesMissing
LCSCTWHN has 116503 (93.7%) missing valuesMissing
LCSFIRST has 80560 (64.8%) missing valuesMissing
LCSLAST has 89731 (72.2%) missing valuesMissing
LCSNUMCG has 81350 (65.4%) missing valuesMissing
LCSSCNCR has 75975 (61.1%) missing valuesMissing
LOADULK2 has 122910 (98.9%) missing valuesMissing
LSATISFY has 45364 (36.5%) missing valuesMissing
MARIJAN1 has 95848 (77.1%) missing valuesMissing
MARJDAB has 120543 (97.0%) missing valuesMissing
MARJEAT has 120536 (97.0%) missing valuesMissing
MARJOTHR has 120545 (97.0%) missing valuesMissing
MARJSMOK has 120532 (97.0%) missing valuesMissing
MARJVAPE has 120538 (97.0%) missing valuesMissing
MAXDRNKS has 56768 (45.7%) missing valuesMissing
MENTCIGS has 123101 (99.0%) missing valuesMissing
MENTECIG has 123522 (99.4%) missing valuesMissing
MENTHLTH has 2146 (1.7%) missing valuesMissing
MSCODE has 106914 (86.0%) missing valuesMissing
NOBCUSE8 has 122905 (98.9%) missing valuesMissing
NUMADULT has 106463 (85.6%) missing valuesMissing
NUMHHOL4 has 106524 (85.7%) missing valuesMissing
NUMMEN has 113349 (91.2%) missing valuesMissing
NUMPHON4 has 123027 (99.0%) missing valuesMissing
NUMWOMEN has 113348 (91.2%) missing valuesMissing
PCPSARS2 has 123203 (99.1%) missing valuesMissing
PCSTALK1 has 122694 (98.7%) missing valuesMissing
PDIABTS1 has 87639 (70.5%) missing valuesMissing
PFPPRVN4 has 117569 (94.6%) missing valuesMissing
PHYSHLTH has 2436 (2.0%) missing valuesMissing
PNEUVAC4 has 10984 (8.8%) missing valuesMissing
POORHLTH has 46488 (37.4%) missing valuesMissing
PREDIAB2 has 85335 (68.6%) missing valuesMissing
PREGNANT has 93205 (75.0%) missing valuesMissing
PRIMINSR has 3911 (3.1%) missing valuesMissing
PSASUGST has 123211 (99.1%) missing valuesMissing
PSATEST1 has 122431 (98.5%) missing valuesMissing
PSATIME1 has 123241 (99.1%) missing valuesMissing
PVTRESD1 has 106458 (85.6%) missing valuesMissing
PVTRESD3 has 17859 (14.4%) missing valuesMissing
RCSGEND1 has 101391 (81.6%) missing valuesMissing
RCSRLTN2 has 101129 (81.4%) missing valuesMissing
RCSXBRTH has 124066 (99.8%) missing valuesMissing
RESPSLCT has 113024 (90.9%) missing valuesMissing
RMVTETH4 has 2221 (1.8%) missing valuesMissing
RRATWRK2 has 94542 (76.1%) missing valuesMissing
RRCLASS3 has 75216 (60.5%) missing valuesMissing
RRCOGNT2 has 76004 (61.1%) missing valuesMissing
RRHCARE4 has 78994 (63.5%) missing valuesMissing
RRPHYSM2 has 75295 (60.6%) missing valuesMissing
RRTREAT has 78591 (63.2%) missing valuesMissing
SAFETIME has 17855 (14.4%) missing valuesMissing
SDHBILLS has 45610 (36.7%) missing valuesMissing
SDHEMPLY has 45483 (36.6%) missing valuesMissing
SDHFOOD1 has 45530 (36.6%) missing valuesMissing
SDHISOLT has 45451 (36.6%) missing valuesMissing
SDHSTRE1 has 46029 (37.0%) missing valuesMissing
SDHTRNSP has 45669 (36.7%) missing valuesMissing
SDHUTILS has 45617 (36.7%) missing valuesMissing
SDNATES1 has 121597 (97.8%) missing valuesMissing
SHINGLE2 has 120535 (97.0%) missing valuesMissing
SIGMTES1 has 117281 (94.3%) missing valuesMissing
SMALSTOL has 108934 (87.6%) missing valuesMissing
SMOKDAY2 has 78366 (63.0%) missing valuesMissing
SOFEMALE has 85071 (68.4%) missing valuesMissing
SOMALE has 90701 (73.0%) missing valuesMissing
STATERE1 has 106458 (85.6%) missing valuesMissing
STOLTEST has 112348 (90.4%) missing valuesMissing
STOOLDN2 has 109171 (87.8%) missing valuesMissing
STOPSMK2 has 119674 (96.3%) missing valuesMissing
TETANUS1 has 11453 (9.2%) missing valuesMissing
TOLDCFS has 124313 (100.0%) missing valuesMissing
TRNSGNDR has 50439 (40.6%) missing valuesMissing
TYPCNTR9 has 119228 (95.9%) missing valuesMissing
USEMRJN4 has 122603 (98.6%) missing valuesMissing
VCLNTES2 has 122250 (98.3%) missing valuesMissing
VIRCOLO1 has 109440 (88.0%) missing valuesMissing
WHEREGET has 120017 (96.5%) missing valuesMissing
WORKCFS has 124313 (100.0%) missing valuesMissing
WTKG3 has 5990 (4.8%) missing valuesMissing
_AGE65YR has 1688 (1.4%) missing valuesMissing
_AGEG5YR has 1688 (1.4%) missing valuesMissing
HAVECFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
TOLDCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
WORKCFS is an unsupported type, check if it needs cleaning or further analysisUnsupported
BRTHCNT4 has 3157 (2.5%) zerosZeros
CHILDREN has 82751 (66.6%) zerosZeros
COPDSMOK has 1383 (1.1%) zerosZeros
DRNK3GE5 has 46943 (37.8%) zerosZeros
DROCDY4_ has 53213 (42.8%) zerosZeros
MARIJAN1 has 24673 (19.8%) zerosZeros
PHYSHLTH has 68325 (55.0%) zerosZeros
POORHLTH has 38001 (30.6%) zerosZeros
PRIMINSR has 5804 (4.7%) zerosZeros

Reproduction

Analysis started2024-06-08 15:24:28.558838
Analysis finished2024-06-08 15:24:43.248183
Duration14.69 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

ACEADNED
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing110005
Missing (%)88.5%
Memory size5.1 MiB
5.0
11823 
4.0
1649 
3.0
 
446
2.0
 
215
1.0
 
175

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 11823
 
9.5%
4.0 1649
 
1.3%
3.0 446
 
0.4%
2.0 215
 
0.2%
1.0 175
 
0.1%
(Missing) 110005
88.5%

Common Values (Plot)

2024-06-08T15:24:43.633098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEADSAF
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing110018
Missing (%)88.5%
Memory size5.1 MiB
5.0
9997 
4.0
2598 
3.0
 
839
1.0
 
444
2.0
 
417

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row5.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 9997
 
8.0%
4.0 2598
 
2.1%
3.0 839
 
0.7%
1.0 444
 
0.4%
2.0 417
 
0.3%
(Missing) 110018
88.5%

Common Values (Plot)

2024-06-08T15:24:43.979608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDEPRS
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109954
Missing (%)88.4%
Memory size5.9 MiB
False
11126 
True
 
3233
(Missing)
109954 
ValueCountFrequency (%)
False 11126
 
8.9%
True 3233
 
2.6%
(Missing) 109954
88.4%
2024-06-08T15:24:44.223386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDIVRC
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing110163
Missing (%)88.6%
Memory size5.9 MiB
False
 
9998
True
 
4152
(Missing)
110163 
ValueCountFrequency (%)
False 9998
 
8.0%
True 4152
 
3.3%
(Missing) 110163
88.6%
2024-06-08T15:24:44.443253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRINK
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109889
Missing (%)88.4%
Memory size5.9 MiB
False
 
10480
True
 
3944
(Missing)
109889 
ValueCountFrequency (%)
False 10480
 
8.4%
True 3944
 
3.2%
(Missing) 109889
88.4%
2024-06-08T15:24:44.663583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEDRUGS
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109929
Missing (%)88.4%
Memory size5.9 MiB
False
12600 
True
 
1784
(Missing)
109929 
ValueCountFrequency (%)
False 12600
 
10.1%
True 1784
 
1.4%
(Missing) 109929
88.4%
2024-06-08T15:24:44.891655image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHURT1
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110047
Missing (%)88.5%
Memory size5.1 MiB
1.0
10482 
3.0
2897 
2.0
 
887

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 10482
 
8.4%
3.0 2897
 
2.3%
2.0 887
 
0.7%
(Missing) 110047
88.5%

Common Values (Plot)

2024-06-08T15:24:45.131718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEHVSEX
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110119
Missing (%)88.6%
Memory size5.1 MiB
1.0
13314 
3.0
 
561
2.0
 
319

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 13314
 
10.7%
3.0 561
 
0.5%
2.0 319
 
0.3%
(Missing) 110119
88.6%

Common Values (Plot)

2024-06-08T15:24:45.368418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPRISN
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109884
Missing (%)88.4%
Memory size5.9 MiB
False
13063 
True
 
1366
(Missing)
109884 
ValueCountFrequency (%)
False 13063
 
10.5%
True 1366
 
1.1%
(Missing) 109884
88.4%
2024-06-08T15:24:45.593753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACEPUNCH
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110101
Missing (%)88.6%
Memory size5.1 MiB
1.0
11512 
3.0
2086 
2.0
 
614

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 11512
 
9.3%
3.0 2086
 
1.7%
2.0 614
 
0.5%
(Missing) 110101
88.6%

Common Values (Plot)

2024-06-08T15:24:45.831636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACESWEAR
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110115
Missing (%)88.6%
Memory size5.1 MiB
1.0
8723 
3.0
4713 
2.0
 
762

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 8723
 
7.0%
3.0 4713
 
3.8%
2.0 762
 
0.6%
(Missing) 110115
88.6%

Common Values (Plot)

2024-06-08T15:24:46.088206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETOUCH
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110108
Missing (%)88.6%
Memory size5.1 MiB
1.0
12184 
3.0
1348 
2.0
 
673

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 12184
 
9.8%
3.0 1348
 
1.1%
2.0 673
 
0.5%
(Missing) 110108
88.6%

Common Values (Plot)

2024-06-08T15:24:46.329148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ACETTHEM
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing110098
Missing (%)88.6%
Memory size5.1 MiB
1.0
12719 
3.0
 
979
2.0
 
517

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 12719
 
10.2%
3.0 979
 
0.8%
2.0 517
 
0.4%
(Missing) 110098
88.6%

Common Values (Plot)

2024-06-08T15:24:46.561409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ADDEPEV3
Boolean

Distinct2
Distinct (%)< 0.1%
Missing666
Missing (%)0.5%
Memory size5.9 MiB
False
94554 
True
29093 
(Missing)
 
666
ValueCountFrequency (%)
False 94554
76.1%
True 29093
 
23.4%
(Missing) 666
 
0.5%
2024-06-08T15:24:46.779917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIADVC
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing105286
Missing (%)84.7%
Memory size5.9 MiB
False
15380 
True
 
3647
(Missing)
105286 
ValueCountFrequency (%)
False 15380
 
12.4%
True 3647
 
2.9%
(Missing) 105286
84.7%
2024-06-08T15:24:47.032236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIALCH
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing105480
Missing (%)84.9%
Memory size5.9 MiB
True
15654 
False
 
3179
(Missing)
105480 
ValueCountFrequency (%)
True 15654
 
12.6%
False 3179
 
2.6%
(Missing) 105480
84.9%
2024-06-08T15:24:47.290867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIBING
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing108061
Missing (%)86.9%
Memory size5.9 MiB
False
 
10719
True
 
5533
(Missing)
108061 
ValueCountFrequency (%)
False 10719
 
8.6%
True 5533
 
4.5%
(Missing) 108061
86.9%
2024-06-08T15:24:47.514562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIDRNK
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing105612
Missing (%)85.0%
Memory size5.9 MiB
True
13846 
False
 
4855
(Missing)
105612 
ValueCountFrequency (%)
True 13846
 
11.1%
False 4855
 
3.9%
(Missing) 105612
85.0%
2024-06-08T15:24:47.739922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASBIRDUC
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing108205
Missing (%)87.0%
Memory size5.9 MiB
False
14929 
True
 
1179
(Missing)
108205 
ValueCountFrequency (%)
False 14929
 
12.0%
True 1179
 
0.9%
(Missing) 108205
87.0%
2024-06-08T15:24:47.970402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHMA3
Boolean

Distinct2
Distinct (%)< 0.1%
Missing403
Missing (%)0.3%
Memory size5.9 MiB
False
102209 
True
21701 
(Missing)
 
403
ValueCountFrequency (%)
False 102209
82.2%
True 21701
 
17.5%
(Missing) 403
 
0.3%
2024-06-08T15:24:48.202239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

ASTHNOW
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing103246
Missing (%)83.1%
Memory size5.9 MiB
True
14961 
False
 
6106
(Missing)
103246 
ValueCountFrequency (%)
True 14961
 
12.0%
False 6106
 
4.9%
(Missing) 103246
83.1%
2024-06-08T15:24:48.420569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

AVEDRNK3
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)0.1%
Missing55417
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean2.343358105
Minimum0
Maximum76
Zeros334
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:48.657433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum76
Range76
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.301163956
Coefficient of variation (CV)0.9819941522
Kurtosis173.6922429
Mean2.343358105
Median Absolute Deviation (MAD)1
Skewness8.602773337
Sum161448
Variance5.295355551
MonotonicityNot monotonic
2024-06-08T15:24:48.947533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 26718
21.5%
2 22209
17.9%
3 9252
 
7.4%
4 4156
 
3.3%
5 2290
 
1.8%
6 1769
 
1.4%
10 531
 
0.4%
8 530
 
0.4%
7 383
 
0.3%
0 334
 
0.3%
Other values (33) 724
 
0.6%
(Missing) 55417
44.6%
ValueCountFrequency (%)
0 334
 
0.3%
1 26718
21.5%
2 22209
17.9%
3 9252
 
7.4%
4 4156
 
3.3%
ValueCountFrequency (%)
76 4
< 0.1%
75 1
 
< 0.1%
72 1
 
< 0.1%
70 1
 
< 0.1%
69 1
 
< 0.1%

BCPREFER
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)0.2%
Missing117986
Missing (%)94.9%
Infinite0
Infinite (%)0.0%
Mean6.43796428
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:49.212759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q38
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.138134174
Coefficient of variation (CV)0.6427706016
Kurtosis-0.795667447
Mean6.43796428
Median Absolute Deviation (MAD)2
Skewness0.6498914127
Sum40733
Variance17.12415444
MonotonicityNot monotonic
2024-06-08T15:24:49.438285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6 1339
 
1.1%
4 1140
 
0.9%
2 679
 
0.5%
13 662
 
0.5%
7 572
 
0.5%
1 568
 
0.5%
14 560
 
0.5%
5 234
 
0.2%
3 201
 
0.2%
12 187
 
0.2%
Other values (4) 185
 
0.1%
(Missing) 117986
94.9%
ValueCountFrequency (%)
1 568
0.5%
2 679
0.5%
3 201
 
0.2%
4 1140
0.9%
5 234
 
0.2%
ValueCountFrequency (%)
14 560
0.5%
13 662
0.5%
12 187
 
0.2%
11 9
 
< 0.1%
10 84
 
0.1%

BIRTHSEX
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing100775
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean1.535389583
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:49.654145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4987565997
Coefficient of variation (CV)0.3248404218
Kurtosis-1.980026026
Mean1.535389583
Median Absolute Deviation (MAD)0
Skewness-0.1419232952
Sum36140
Variance0.2487581458
MonotonicityNot monotonic
2024-06-08T15:24:49.862751image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 12602
 
10.1%
1 10936
 
8.8%
(Missing) 100775
81.1%
ValueCountFrequency (%)
1 10936
8.8%
2 12602
10.1%
ValueCountFrequency (%)
2 12602
10.1%
1 10936
8.8%

BLDSTFIT
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121846
Missing (%)98.0%
Memory size5.9 MiB
True
 
1898
False
 
569
(Missing)
121846 
ValueCountFrequency (%)
True 1898
 
1.5%
False 569
 
0.5%
(Missing) 121846
98.0%
2024-06-08T15:24:50.100836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BLIND
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing323
Missing (%)0.3%
Memory size5.9 MiB
False
117610 
True
 
6380
(Missing)
 
323
ValueCountFrequency (%)
False 117610
94.6%
True 6380
 
5.1%
(Missing) 323
 
0.3%
2024-06-08T15:24:50.329139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)0.3%
Missing119287
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean2.320135296
Minimum0
Maximum12
Zeros3157
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:50.502674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.52881253
Coefficient of variation (CV)1.520951186
Kurtosis0.1406337047
Mean2.320135296
Median Absolute Deviation (MAD)0
Skewness1.233649813
Sum11661
Variance12.45251787
MonotonicityNot monotonic
2024-06-08T15:24:50.748536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 3157
 
2.5%
7 476
 
0.4%
6 322
 
0.3%
10 262
 
0.2%
4 244
 
0.2%
2 185
 
0.1%
1 127
 
0.1%
12 99
 
0.1%
9 63
 
0.1%
3 40
 
< 0.1%
Other values (3) 51
 
< 0.1%
(Missing) 119287
96.0%
ValueCountFrequency (%)
0 3157
2.5%
1 127
 
0.1%
2 185
 
0.1%
3 40
 
< 0.1%
4 244
 
0.2%
ValueCountFrequency (%)
12 99
 
0.1%
11 27
 
< 0.1%
10 262
0.2%
9 63
 
0.1%
8 4
 
< 0.1%

CADULT1
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing17856
Missing (%)14.4%
Memory size5.9 MiB
True
106457 
(Missing)
17856 
ValueCountFrequency (%)
True 106457
85.6%
(Missing) 17856
 
14.4%
2024-06-08T15:24:50.990692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CAGEG
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing103258
Missing (%)83.1%
Infinite0
Infinite (%)0.0%
Mean2.534552363
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:51.176364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.09209734
Coefficient of variation (CV)0.430883716
Kurtosis-1.29374764
Mean2.534552363
Median Absolute Deviation (MAD)1
Skewness-0.07453828265
Sum53365
Variance1.192676601
MonotonicityNot monotonic
2024-06-08T15:24:51.369551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 6098
 
4.9%
4 5031
 
4.0%
2 5021
 
4.0%
1 4905
 
3.9%
(Missing) 103258
83.1%
ValueCountFrequency (%)
1 4905
3.9%
2 5021
4.0%
3 6098
4.9%
4 5031
4.0%
ValueCountFrequency (%)
4 5031
4.0%
3 6098
4.9%
2 5021
4.0%
1 4905
3.9%

CAREGIV1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing94096
Missing (%)75.7%
Memory size5.9 MiB
False
23666 
True
 
6551
(Missing)
94096 
ValueCountFrequency (%)
False 23666
 
19.0%
True 6551
 
5.3%
(Missing) 94096
75.7%
2024-06-08T15:24:51.619156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHDX2
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing104172
Missing (%)83.8%
Memory size5.9 MiB
False
17659 
True
 
2482
(Missing)
104172 
ValueCountFrequency (%)
False 17659
 
14.2%
True 2482
 
2.0%
(Missing) 104172
83.8%
2024-06-08T15:24:51.839103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CASTHNO2
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121886
Missing (%)98.0%
Memory size5.9 MiB
True
 
1639
False
 
788
(Missing)
121886 
ValueCountFrequency (%)
True 1639
 
1.3%
False 788
 
0.6%
(Missing) 121886
98.0%
2024-06-08T15:24:52.057672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CCLGHOUS
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing123859
Missing (%)99.6%
Memory size5.9 MiB
True
 
454
(Missing)
123859 
ValueCountFrequency (%)
True 454
 
0.4%
(Missing) 123859
99.6%
2024-06-08T15:24:52.273585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDASSIST
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing122058
Missing (%)98.2%
Memory size5.1 MiB
5.0
1216 
4.0
441 
3.0
403 
1.0
 
98
2.0
 
97

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 1216
 
1.0%
4.0 441
 
0.4%
3.0 403
 
0.3%
1.0 98
 
0.1%
2.0 97
 
0.1%
(Missing) 122058
98.2%

Common Values (Plot)

2024-06-08T15:24:52.468656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDDISCUS
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing122070
Missing (%)98.2%
Memory size5.9 MiB
False
 
1126
True
 
1117
(Missing)
122070 
ValueCountFrequency (%)
False 1126
 
0.9%
True 1117
 
0.9%
(Missing) 122070
98.2%
2024-06-08T15:24:52.707392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHELP
Categorical

MISSING 

Distinct5
Distinct (%)0.8%
Missing123720
Missing (%)99.5%
Memory size5.1 MiB
1.0
226 
2.0
142 
3.0
140 
4.0
54 
5.0
31 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row2.0
4th row4.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 226
 
0.2%
2.0 142
 
0.1%
3.0 140
 
0.1%
4.0 54
 
< 0.1%
5.0 31
 
< 0.1%
(Missing) 123720
99.5%

Common Values (Plot)

2024-06-08T15:24:52.954911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDHOUSE
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing122060
Missing (%)98.2%
Memory size5.1 MiB
5.0
1123 
3.0
520 
4.0
385 
2.0
119 
1.0
 
106

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row3.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 1123
 
0.9%
3.0 520
 
0.4%
4.0 385
 
0.3%
2.0 119
 
0.1%
1.0 106
 
0.1%
(Missing) 122060
98.2%

Common Values (Plot)

2024-06-08T15:24:53.212431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CDSOCIAL
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing122067
Missing (%)98.2%
Memory size5.1 MiB
5.0
1096 
3.0
452 
4.0
433 
1.0
136 
2.0
129 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row3.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
5.0 1096
 
0.9%
3.0 452
 
0.4%
4.0 433
 
0.3%
1.0 136
 
0.1%
2.0 129
 
0.1%
(Missing) 122067
98.2%

Common Values (Plot)

2024-06-08T15:24:53.488186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLFON5
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing17855
Missing (%)14.4%
Memory size5.9 MiB
True
106458 
(Missing)
17855 
ValueCountFrequency (%)
True 106458
85.6%
(Missing) 17855
 
14.4%
2024-06-08T15:24:54.065231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLSEX1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing17904
Missing (%)14.4%
Infinite0
Infinite (%)0.0%
Mean1.528705279
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:54.621209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.500850432
Coefficient of variation (CV)0.327630472
Kurtosis-1.938263174
Mean1.528705279
Median Absolute Deviation (MAD)0
Skewness-0.09503853275
Sum162668
Variance0.2508511552
MonotonicityNot monotonic
2024-06-08T15:24:55.032008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 56081
45.1%
1 50239
40.4%
3 89
 
0.1%
(Missing) 17904
 
14.4%
ValueCountFrequency (%)
1 50239
40.4%
2 56081
45.1%
3 89
 
0.1%
ValueCountFrequency (%)
3 89
 
0.1%
2 56081
45.1%
1 50239
40.4%

CELPHON1
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing106456
Missing (%)85.6%
Memory size5.9 MiB
False
17855 
True
 
2
(Missing)
106456 
ValueCountFrequency (%)
False 17855
 
14.4%
True 2
 
< 0.1%
(Missing) 106456
85.6%
2024-06-08T15:24:55.538261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CERVSCRN
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing61468
Missing (%)49.4%
Memory size5.9 MiB
True
42874 
False
19971 
(Missing)
61468 
ValueCountFrequency (%)
True 42874
34.5%
False 19971
 
16.1%
(Missing) 61468
49.4%
2024-06-08T15:24:55.957801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCCOPD3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing504
Missing (%)0.4%
Memory size5.9 MiB
False
114685 
True
 
9124
(Missing)
 
504
ValueCountFrequency (%)
False 114685
92.3%
True 9124
 
7.3%
(Missing) 504
 
0.4%
2024-06-08T15:24:56.274595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCKDNY2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing416
Missing (%)0.3%
Memory size5.9 MiB
False
118574 
True
 
5323
(Missing)
 
416
ValueCountFrequency (%)
False 118574
95.4%
True 5323
 
4.3%
(Missing) 416
 
0.3%
2024-06-08T15:24:56.548216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCOCNC1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing478
Missing (%)0.4%
Memory size5.9 MiB
False
111590 
True
12245 
(Missing)
 
478
ValueCountFrequency (%)
False 111590
89.8%
True 12245
 
9.9%
(Missing) 478
 
0.4%
2024-06-08T15:24:56.956214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHCSCNC1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing653
Missing (%)0.5%
Memory size5.9 MiB
False
114928 
True
 
8732
(Missing)
 
653
ValueCountFrequency (%)
False 114928
92.5%
True 8732
 
7.0%
(Missing) 653
 
0.5%
2024-06-08T15:24:57.378008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHECKUP1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing1838
Missing (%)1.5%
Memory size5.1 MiB
1.0
98290 
2.0
12419 
3.0
 
6993
4.0
 
4675
9.0
 
98

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 98290
79.1%
2.0 12419
 
10.0%
3.0 6993
 
5.6%
4.0 4675
 
3.8%
9.0 98
 
0.1%
(Missing) 1838
 
1.5%

Common Values (Plot)

2024-06-08T15:24:57.838841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CHILDREN
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing1148
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.6406446637
Minimum0
Maximum30
Zeros82751
Zeros (%)66.6%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:58.288810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.12222338
Coefficient of variation (CV)1.751709557
Kurtosis16.06639506
Mean0.6406446637
Median Absolute Deviation (MAD)0
Skewness2.527861072
Sum78905
Variance1.259385314
MonotonicityNot monotonic
2024-06-08T15:24:58.737934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 82751
66.6%
1 16671
 
13.4%
2 14298
 
11.5%
3 6182
 
5.0%
4 2139
 
1.7%
5 676
 
0.5%
6 268
 
0.2%
7 96
 
0.1%
8 42
 
< 0.1%
10 12
 
< 0.1%
Other values (12) 30
 
< 0.1%
(Missing) 1148
 
0.9%
ValueCountFrequency (%)
0 82751
66.6%
1 16671
 
13.4%
2 14298
 
11.5%
3 6182
 
5.0%
4 2139
 
1.7%
ValueCountFrequency (%)
30 1
< 0.1%
25 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%

CHKHEMO3
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.8%
Missing121067
Missing (%)97.4%
Infinite0
Infinite (%)0.0%
Mean3.103203943
Minimum0
Maximum76
Zeros178
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:24:59.219234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile5
Maximum76
Range76
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.008992406
Coefficient of variation (CV)1.936383337
Kurtosis116.3412656
Mean3.103203943
Median Absolute Deviation (MAD)1
Skewness10.21558701
Sum10073
Variance36.10798973
MonotonicityNot monotonic
2024-06-08T15:24:59.691216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 1047
 
0.8%
4 693
 
0.6%
1 627
 
0.5%
3 506
 
0.4%
0 178
 
0.1%
6 60
 
< 0.1%
5 39
 
< 0.1%
12 37
 
< 0.1%
76 17
 
< 0.1%
7 7
 
< 0.1%
Other values (16) 35
 
< 0.1%
(Missing) 121067
97.4%
ValueCountFrequency (%)
0 178
 
0.1%
1 627
0.5%
2 1047
0.8%
3 506
0.4%
4 693
0.6%
ValueCountFrequency (%)
76 17
< 0.1%
60 1
 
< 0.1%
48 1
 
< 0.1%
40 2
 
< 0.1%
36 1
 
< 0.1%

CIMEMLOS
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing107676
Missing (%)86.6%
Memory size5.9 MiB
False
14465 
True
 
2172
(Missing)
107676 
ValueCountFrequency (%)
False 14465
 
11.6%
True 2172
 
1.7%
(Missing) 107676
86.6%
2024-06-08T15:25:00.221765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRAGE
Real number (ℝ)

MISSING 

Distinct91
Distinct (%)1.6%
Missing118492
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean52.94244975
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:00.717824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q143
median55
Q365
95-th percentile76
Maximum97
Range96
Interquartile range (IQR)22

Descriptive statistics

Standard deviation15.86784837
Coefficient of variation (CV)0.2997188162
Kurtosis-0.1831196145
Mean52.94244975
Median Absolute Deviation (MAD)10
Skewness-0.4673772383
Sum308178
Variance251.7886118
MonotonicityNot monotonic
2024-06-08T15:25:01.263641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 306
 
0.2%
60 287
 
0.2%
65 254
 
0.2%
55 254
 
0.2%
40 210
 
0.2%
45 205
 
0.2%
70 196
 
0.2%
58 157
 
0.1%
62 151
 
0.1%
64 138
 
0.1%
Other values (81) 3663
 
2.9%
(Missing) 118492
95.3%
ValueCountFrequency (%)
1 10
< 0.1%
3 2
 
< 0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 4
 
< 0.1%
ValueCountFrequency (%)
97 1
 
< 0.1%
92 2
< 0.1%
91 1
 
< 0.1%
90 3
< 0.1%
89 2
< 0.1%

CNCRDIFF
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing118222
Missing (%)95.1%
Memory size5.1 MiB
1.0
4742 
2.0
1110 
3.0
 
239

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4742
 
3.8%
2.0 1110
 
0.9%
3.0 239
 
0.2%
(Missing) 118222
95.1%

Common Values (Plot)

2024-06-08T15:25:01.783158image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)0.5%
Missing118454
Missing (%)95.3%
Infinite0
Infinite (%)0.0%
Mean17.62177846
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:02.242312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q114
median20
Q322
95-th percentile30
Maximum30
Range29
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.753102233
Coefficient of variation (CV)0.4399727446
Kurtosis-0.7438696312
Mean17.62177846
Median Absolute Deviation (MAD)4
Skewness-0.4962055178
Sum103246
Variance60.11059424
MonotonicityNot monotonic
2024-06-08T15:25:02.649999image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
22 1759
 
1.4%
16 766
 
0.6%
5 740
 
0.6%
20 452
 
0.4%
23 387
 
0.3%
30 371
 
0.3%
6 196
 
0.2%
7 161
 
0.1%
28 137
 
0.1%
15 134
 
0.1%
Other values (20) 756
 
0.6%
(Missing) 118454
95.3%
ValueCountFrequency (%)
1 75
 
0.1%
2 31
 
< 0.1%
3 22
 
< 0.1%
4 19
 
< 0.1%
5 740
0.6%
ValueCountFrequency (%)
30 371
0.3%
29 113
 
0.1%
28 137
 
0.1%
27 28
 
< 0.1%
26 30
 
< 0.1%

COLGHOUS
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)16.7%
Missing124307
Missing (%)> 99.9%
Memory size5.9 MiB
True
 
6
(Missing)
124307 
ValueCountFrequency (%)
True 6
 
< 0.1%
(Missing) 124307
> 99.9%
2024-06-08T15:25:02.939204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLGSEX1
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)28.6%
Missing124306
Missing (%)> 99.9%
Infinite0
Infinite (%)0.0%
Mean1.714285714
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:03.101290image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4879500365
Coefficient of variation (CV)0.2846375213
Kurtosis-0.84
Mean1.714285714
Median Absolute Deviation (MAD)0
Skewness-1.229634092
Sum12
Variance0.2380952381
MonotonicityNot monotonic
2024-06-08T15:25:03.304224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 5
 
< 0.1%
1 2
 
< 0.1%
(Missing) 124306
> 99.9%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 5
< 0.1%
ValueCountFrequency (%)
2 5
< 0.1%
1 2
 
< 0.1%

COLNCNCR
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing50056
Missing (%)40.3%
Memory size5.9 MiB
False
58726 
True
15531 
(Missing)
50056 
ValueCountFrequency (%)
False 58726
47.2%
True 15531
 
12.5%
(Missing) 50056
40.3%
2024-06-08T15:25:03.542912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNSIGM
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing69608
Missing (%)56.0%
Infinite0
Infinite (%)0.0%
Mean1.282643268
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:03.723198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6926864024
Coefficient of variation (CV)0.5400460279
Kurtosis2.264539835
Mean1.282643268
Median Absolute Deviation (MAD)0
Skewness2.059232817
Sum70167
Variance0.479814452
MonotonicityNot monotonic
2024-06-08T15:25:03.964846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 46821
37.7%
3 7578
 
6.1%
2 306
 
0.2%
(Missing) 69608
56.0%
ValueCountFrequency (%)
1 46821
37.7%
2 306
 
0.2%
3 7578
 
6.1%
ValueCountFrequency (%)
3 7578
 
6.1%
2 306
 
0.2%
1 46821
37.7%

COLNTES1
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing70785
Missing (%)56.9%
Memory size5.1 MiB
3.0
18701 
1.0
11554 
4.0
10171 
2.0
8587 
5.0
4515 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row4.0
3rd row5.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 18701
 
15.0%
1.0 11554
 
9.3%
4.0 10171
 
8.2%
2.0 8587
 
6.9%
5.0 4515
 
3.6%
(Missing) 70785
56.9%

Common Values (Plot)

2024-06-08T15:25:04.241048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDBRTH
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121994
Missing (%)98.1%
Memory size5.9 MiB
False
 
1649
True
 
670
(Missing)
121994 
ValueCountFrequency (%)
False 1649
 
1.3%
True 670
 
0.5%
(Missing) 121994
98.1%
2024-06-08T15:25:04.478888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDBTST
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing122018
Missing (%)98.2%
Memory size5.9 MiB
False
 
1588
True
 
707
(Missing)
122018 
ValueCountFrequency (%)
False 1588
 
1.3%
True 707
 
0.6%
(Missing) 122018
98.2%
2024-06-08T15:25:04.674938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDCOGH
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121984
Missing (%)98.1%
Memory size5.9 MiB
False
 
1954
True
 
375
(Missing)
121984 
ValueCountFrequency (%)
False 1954
 
1.6%
True 375
 
0.3%
(Missing) 121984
98.1%
2024-06-08T15:25:04.892076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDFLEM
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121990
Missing (%)98.1%
Memory size5.9 MiB
False
 
1978
True
 
345
(Missing)
121990 
ValueCountFrequency (%)
False 1978
 
1.6%
True 345
 
0.3%
(Missing) 121990
98.1%
2024-06-08T15:25:05.111824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COPDSMOK
Real number (ℝ)

MISSING  ZEROS 

Distinct55
Distinct (%)2.4%
Missing122064
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean6.649622054
Minimum0
Maximum75
Zeros1383
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:05.338222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile35
Maximum75
Range75
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.05731977
Coefficient of variation (CV)1.813233846
Kurtosis4.135035473
Mean6.649622054
Median Absolute Deviation (MAD)0
Skewness2.10657557
Sum14955
Variance145.37896
MonotonicityNot monotonic
2024-06-08T15:25:05.619167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1383
 
1.1%
10 77
 
0.1%
20 72
 
0.1%
15 54
 
< 0.1%
30 52
 
< 0.1%
1 48
 
< 0.1%
3 46
 
< 0.1%
2 43
 
< 0.1%
5 42
 
< 0.1%
4 34
 
< 0.1%
Other values (45) 398
 
0.3%
(Missing) 122064
98.2%
ValueCountFrequency (%)
0 1383
1.1%
1 48
 
< 0.1%
2 43
 
< 0.1%
3 46
 
< 0.1%
4 34
 
< 0.1%
ValueCountFrequency (%)
75 1
< 0.1%
66 1
< 0.1%
65 2
< 0.1%
62 1
< 0.1%
60 2
< 0.1%

COVACGET
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing114714
Missing (%)92.3%
Memory size5.1 MiB
4.0
6766 
3.0
2157 
2.0
 
435
1.0
 
241

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
4.0 6766
 
5.4%
3.0 2157
 
1.7%
2.0 435
 
0.3%
1.0 241
 
0.2%
(Missing) 114714
92.3%

Common Values (Plot)

2024-06-08T15:25:05.929193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDFS1
Date

MISSING 

Distinct47
Distinct (%)0.1%
Missing91988
Missing (%)74.0%
Memory size5.9 MiB
Minimum2019-01-01 00:00:00
Maximum2022-12-01 00:00:00
2024-06-08T15:25:06.166020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-08T15:25:06.458086image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

COVIDINT
Categorical

MISSING 

Distinct3
Distinct (%)0.1%
Missing121376
Missing (%)97.6%
Memory size5.1 MiB
3.0
1605 
1.0
669 
2.0
663 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 1605
 
1.3%
1.0 669
 
0.5%
2.0 663
 
0.5%
(Missing) 121376
97.6%

Common Values (Plot)

2024-06-08T15:25:06.724355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDNU1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing85903
Missing (%)69.1%
Memory size5.1 MiB
3.0
16065 
2.0
13749 
4.0
5984 
1.0
2612 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 16065
 
12.9%
2.0 13749
 
11.1%
4.0 5984
 
4.8%
1.0 2612
 
2.1%
(Missing) 85903
69.1%

Common Values (Plot)

2024-06-08T15:25:06.990026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPOS
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
124313 
ValueCountFrequency (%)
True 124313
100.0%
2024-06-08T15:25:07.221866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)< 0.1%
Missing98731
Missing (%)79.4%
Infinite0
Infinite (%)0.0%
Mean4.864279572
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:07.387677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)9

Descriptive statistics

Standard deviation3.844037258
Coefficient of variation (CV)0.7902582904
Kurtosis-1.435426775
Mean4.864279572
Median Absolute Deviation (MAD)2
Skewness0.5233165884
Sum124438
Variance14.77662244
MonotonicityNot monotonic
2024-06-08T15:25:07.590533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 7072
 
5.7%
3 4772
 
3.8%
10 4234
 
3.4%
2 2564
 
2.1%
11 2511
 
2.0%
4 1378
 
1.1%
9 1353
 
1.1%
5 724
 
0.6%
6 409
 
0.3%
7 322
 
0.3%
(Missing) 98731
79.4%
ValueCountFrequency (%)
1 7072
5.7%
2 2564
 
2.1%
3 4772
3.8%
4 1378
 
1.1%
5 724
 
0.6%
ValueCountFrequency (%)
11 2511
2.0%
10 4234
3.4%
9 1353
 
1.1%
8 243
 
0.2%
7 322
 
0.3%

COVIDSE1
Date

MISSING 

Distinct47
Distinct (%)0.2%
Missing95152
Missing (%)76.5%
Memory size5.9 MiB
Minimum2019-01-01 00:00:00
Maximum2022-12-01 00:00:00
2024-06-08T15:25:07.842362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-08T15:25:08.153871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

COVIDSMP
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2934
Missing (%)2.4%
Memory size5.9 MiB
False
94596 
True
26783 
(Missing)
 
2934
ValueCountFrequency (%)
False 94596
76.1%
True 26783
 
21.5%
(Missing) 2934
 
2.4%
2024-06-08T15:25:08.422866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDVA1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing75812
Missing (%)61.0%
Memory size5.9 MiB
True
38544 
False
9957 
(Missing)
75812 
ValueCountFrequency (%)
True 38544
31.0%
False 9957
 
8.0%
(Missing) 75812
61.0%
2024-06-08T15:25:08.618735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CPDEMO1C
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.230796457
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:08.801276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.052889049
Coefficient of variation (CV)0.8554534283
Kurtosis37.08487944
Mean1.230796457
Median Absolute Deviation (MAD)0
Skewness6.011069814
Sum153004
Variance1.108575349
MonotonicityNot monotonic
2024-06-08T15:25:09.035160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 112659
90.6%
2 7975
 
6.4%
8 1582
 
1.3%
3 787
 
0.6%
9 712
 
0.6%
4 313
 
0.3%
7 104
 
0.1%
5 96
 
0.1%
6 85
 
0.1%
ValueCountFrequency (%)
1 112659
90.6%
2 7975
 
6.4%
3 787
 
0.6%
4 313
 
0.3%
5 96
 
0.1%
ValueCountFrequency (%)
9 712
0.6%
8 1582
1.3%
7 104
 
0.1%
6 85
 
0.1%
5 96
 
0.1%

CRGVALZD
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing118694
Missing (%)95.5%
Memory size5.9 MiB
False
 
4756
True
 
863
(Missing)
118694 
ValueCountFrequency (%)
False 4756
 
3.8%
True 863
 
0.7%
(Missing) 118694
95.5%
2024-06-08T15:25:09.294608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVEXPT
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing102141
Missing (%)82.2%
Memory size5.9 MiB
False
18785 
True
 
3387
(Missing)
102141 
ValueCountFrequency (%)
False 18785
 
15.1%
True 3387
 
2.7%
(Missing) 102141
82.2%
2024-06-08T15:25:09.506991image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHOU1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing117923
Missing (%)94.9%
Memory size5.9 MiB
True
 
5234
False
 
1156
(Missing)
117923 
ValueCountFrequency (%)
True 5234
 
4.2%
False 1156
 
0.9%
(Missing) 117923
94.9%
2024-06-08T15:25:09.721915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVHRS1
Categorical

MISSING 

Distinct4
Distinct (%)0.1%
Missing118270
Missing (%)95.1%
Memory size5.1 MiB
1.0
3172 
4.0
1179 
2.0
917 
3.0
775 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row1.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 3172
 
2.6%
4.0 1179
 
0.9%
2.0 917
 
0.7%
3.0 775
 
0.6%
(Missing) 118270
95.1%

Common Values (Plot)

2024-06-08T15:25:09.945115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVLNG1
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing117901
Missing (%)94.8%
Memory size5.1 MiB
5.0
1949 
4.0
1319 
3.0
1229 
1.0
1073 
2.0
842 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row5.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
5.0 1949
 
1.6%
4.0 1319
 
1.1%
3.0 1229
 
1.0%
1.0 1073
 
0.9%
2.0 842
 
0.7%
(Missing) 117901
94.8%

Common Values (Plot)

2024-06-08T15:25:10.236052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPER1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing117907
Missing (%)94.8%
Memory size5.9 MiB
True
 
3332
False
 
3074
(Missing)
117907 
ValueCountFrequency (%)
True 3332
 
2.7%
False 3074
 
2.5%
(Missing) 117907
94.8%
2024-06-08T15:25:10.481291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.2%
Missing118132
Missing (%)95.0%
Infinite0
Infinite (%)0.0%
Mean9.996602492
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:10.660250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median11
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.71585717
Coefficient of variation (CV)0.4717459931
Kurtosis-1.442484195
Mean9.996602492
Median Absolute Deviation (MAD)4
Skewness-0.320783579
Sum61789
Variance22.23930884
MonotonicityNot monotonic
2024-06-08T15:25:10.872555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
15 1781
 
1.4%
14 798
 
0.6%
5 676
 
0.5%
8 506
 
0.4%
3 499
 
0.4%
6 350
 
0.3%
13 344
 
0.3%
10 306
 
0.2%
7 278
 
0.2%
4 211
 
0.2%
Other values (5) 432
 
0.3%
(Missing) 118132
95.0%
ValueCountFrequency (%)
1 197
 
0.2%
2 27
 
< 0.1%
3 499
0.4%
4 211
 
0.2%
5 676
0.5%
ValueCountFrequency (%)
15 1781
1.4%
14 798
0.6%
13 344
 
0.3%
12 28
 
< 0.1%
11 174
 
0.1%

CRGVREL4
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)0.2%
Missing117846
Missing (%)94.8%
Infinite0
Infinite (%)0.0%
Mean6.772692129
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:11.110574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median6
Q311
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.015624481
Coefficient of variation (CV)0.7405658466
Kurtosis-1.188919011
Mean6.772692129
Median Absolute Deviation (MAD)4
Skewness0.4356027167
Sum43799
Variance25.15648893
MonotonicityNot monotonic
2024-06-08T15:25:11.342116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 1436
 
1.2%
15 874
 
0.7%
5 711
 
0.6%
6 597
 
0.5%
7 546
 
0.4%
2 535
 
0.4%
14 428
 
0.3%
3 267
 
0.2%
11 264
 
0.2%
10 257
 
0.2%
Other values (5) 552
 
0.4%
(Missing) 117846
94.8%
ValueCountFrequency (%)
1 1436
1.2%
2 535
 
0.4%
3 267
 
0.2%
4 100
 
0.1%
5 711
0.6%
ValueCountFrequency (%)
15 874
0.7%
14 428
0.3%
13 75
 
0.1%
12 91
 
0.1%
11 264
 
0.2%

CRVCLCNC
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing82919
Missing (%)66.7%
Memory size5.1 MiB
1.0
14611 
5.0
9341 
2.0
8017 
3.0
5107 
4.0
4318 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row5.0
3rd row2.0
4th row5.0
5th row5.0

Common Values

ValueCountFrequency (%)
1.0 14611
 
11.8%
5.0 9341
 
7.5%
2.0 8017
 
6.4%
3.0 5107
 
4.1%
4.0 4318
 
3.5%
(Missing) 82919
66.7%

Common Values (Plot)

2024-06-08T15:25:11.674339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLHPV
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing93272
Missing (%)75.0%
Memory size5.9 MiB
True
17098 
False
13943 
(Missing)
93272 
ValueCountFrequency (%)
True 17098
 
13.8%
False 13943
 
11.2%
(Missing) 93272
75.0%
2024-06-08T15:25:11.966951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRVCLPAP
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing82284
Missing (%)66.2%
Memory size5.9 MiB
True
39867 
False
 
2162
(Missing)
82284 
ValueCountFrequency (%)
True 39867
32.1%
False 2162
 
1.7%
(Missing) 82284
66.2%
2024-06-08T15:25:12.198406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCLIN
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing121695
Missing (%)97.9%
Memory size5.9 MiB
False
 
2485
True
 
133
(Missing)
121695 
ValueCountFrequency (%)
False 2485
 
2.0%
True 133
 
0.1%
(Missing) 121695
97.9%
2024-06-08T15:25:12.405360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVCTL2
Categorical

MISSING 

Distinct4
Distinct (%)0.9%
Missing123875
Missing (%)99.6%
Memory size5.1 MiB
2.0
173 
1.0
168 
4.0
61 
3.0
36 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row2.0
3rd row1.0
4th row4.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 173
 
0.1%
1.0 168
 
0.1%
4.0 61
 
< 0.1%
3.0 36
 
< 0.1%
(Missing) 123875
99.6%

Common Values (Plot)

2024-06-08T15:25:12.665754image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDEIN
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing121682
Missing (%)97.9%
Memory size5.9 MiB
False
 
2459
True
 
172
(Missing)
121682 
ValueCountFrequency (%)
False 2459
 
2.0%
True 172
 
0.1%
(Missing) 121682
97.9%
2024-06-08T15:25:13.005553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.4%
Missing121709
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean4.580645161
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:13.365564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5
Q35
95-th percentile10
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.933771756
Coefficient of variation (CV)0.6404712989
Kurtosis-0.7263640127
Mean4.580645161
Median Absolute Deviation (MAD)3
Skewness0.7481629941
Sum11928
Variance8.607016718
MonotonicityNot monotonic
2024-06-08T15:25:13.678234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 1054
 
0.8%
5 722
 
0.6%
10 405
 
0.3%
7 142
 
0.1%
1 92
 
0.1%
4 64
 
0.1%
9 50
 
< 0.1%
3 40
 
< 0.1%
8 19
 
< 0.1%
6 16
 
< 0.1%
(Missing) 121709
97.9%
ValueCountFrequency (%)
1 92
 
0.1%
2 1054
0.8%
3 40
 
< 0.1%
4 64
 
0.1%
5 722
0.6%
ValueCountFrequency (%)
10 405
0.3%
9 50
 
< 0.1%
8 19
 
< 0.1%
7 142
 
0.1%
6 16
 
< 0.1%

CSRVINSR
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing121692
Missing (%)97.9%
Memory size5.9 MiB
True
 
2509
False
 
112
(Missing)
121692 
ValueCountFrequency (%)
True 2509
 
2.0%
False 112
 
0.1%
(Missing) 121692
97.9%
2024-06-08T15:25:14.000920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVINST
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing122411
Missing (%)98.5%
Memory size5.9 MiB
True
 
1512
False
 
390
(Missing)
122411 
ValueCountFrequency (%)
True 1512
 
1.2%
False 390
 
0.3%
(Missing) 122411
98.5%
2024-06-08T15:25:14.291546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVPAIN
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing119785
Missing (%)96.4%
Memory size5.9 MiB
False
 
4073
True
 
455
(Missing)
119785 
ValueCountFrequency (%)
False 4073
 
3.3%
True 455
 
0.4%
(Missing) 119785
96.4%
2024-06-08T15:25:14.687114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVRTRN
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121708
Missing (%)97.9%
Memory size5.9 MiB
True
 
2038
False
 
567
(Missing)
121708 
ValueCountFrequency (%)
True 2038
 
1.6%
False 567
 
0.5%
(Missing) 121708
97.9%
2024-06-08T15:25:15.082867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVSUM
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121822
Missing (%)98.0%
Memory size5.9 MiB
False
 
1292
True
 
1199
(Missing)
121822 
ValueCountFrequency (%)
False 1292
 
1.0%
True 1199
 
1.0%
(Missing) 121822
98.0%
2024-06-08T15:25:15.450854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3
Real number (ℝ)

MISSING 

Distinct5
Distinct (%)0.1%
Missing119693
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean2.701082251
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:15.825671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.430514768
Coefficient of variation (CV)0.5296079998
Kurtosis-1.004709867
Mean2.701082251
Median Absolute Deviation (MAD)0
Skewness0.786693993
Sum12479
Variance2.046372502
MonotonicityNot monotonic
2024-06-08T15:25:16.247091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 2674
 
2.2%
5 1164
 
0.9%
1 595
 
0.5%
4 155
 
0.1%
3 32
 
< 0.1%
(Missing) 119693
96.3%
ValueCountFrequency (%)
1 595
 
0.5%
2 2674
2.2%
3 32
 
< 0.1%
4 155
 
0.1%
5 1164
0.9%
ValueCountFrequency (%)
5 1164
0.9%
4 155
 
0.1%
3 32
 
< 0.1%
2 2674
2.2%
1 595
 
0.5%

CSTATE1
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing17860
Missing (%)14.4%
Memory size5.9 MiB
True
100230 
False
 
6223
(Missing)
17860 
ValueCountFrequency (%)
True 100230
80.6%
False 6223
 
5.0%
(Missing) 17860
 
14.4%
2024-06-08T15:25:16.738545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELENM1
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing106458
Missing (%)85.6%
Memory size5.9 MiB
True
17855 
(Missing)
106458 
ValueCountFrequency (%)
True 17855
 
14.4%
(Missing) 106458
85.6%
2024-06-08T15:25:17.183057image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CTELNUM1
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing17855
Missing (%)14.4%
Memory size5.9 MiB
True
106458 
(Missing)
17855 
ValueCountFrequency (%)
True 106458
85.6%
(Missing) 17855
 
14.4%
2024-06-08T15:25:17.587166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDCRHD4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing958
Missing (%)0.8%
Memory size5.9 MiB
False
116646 
True
 
6709
(Missing)
 
958
ValueCountFrequency (%)
False 116646
93.8%
True 6709
 
5.4%
(Missing) 958
 
0.8%
2024-06-08T15:25:17.889656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDINFR4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing639
Missing (%)0.5%
Memory size5.9 MiB
False
117704 
True
 
5970
(Missing)
 
639
ValueCountFrequency (%)
False 117704
94.7%
True 5970
 
4.8%
(Missing) 639
 
0.5%
2024-06-08T15:25:18.291818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CVDSTRK3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing335
Missing (%)0.3%
Memory size5.9 MiB
False
119527 
True
 
4451
(Missing)
 
335
ValueCountFrequency (%)
False 119527
96.2%
True 4451
 
3.6%
(Missing) 335
 
0.3%
2024-06-08T15:25:18.735156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DEAF
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing352
Missing (%)0.3%
Memory size5.9 MiB
False
114280 
True
 
9681
(Missing)
 
352
ValueCountFrequency (%)
False 114280
91.9%
True 9681
 
7.8%
(Missing) 352
 
0.3%
2024-06-08T15:25:19.179410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DECIDE
Boolean

Distinct2
Distinct (%)< 0.1%
Missing779
Missing (%)0.6%
Memory size5.9 MiB
False
107500 
True
16034 
(Missing)
 
779
ValueCountFrequency (%)
False 107500
86.5%
True 16034
 
12.9%
(Missing) 779
 
0.6%
2024-06-08T15:25:19.650910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABAGE4
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)0.6%
Missing107980
Missing (%)86.9%
Infinite0
Infinite (%)0.0%
Mean49.98971408
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:20.146462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21
Q140
median50
Q360
95-th percentile98
Maximum99
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.28313035
Coefficient of variation (CV)0.365737846
Kurtosis0.9372819599
Mean49.98971408
Median Absolute Deviation (MAD)10
Skewness0.4983198172
Sum816482
Variance334.2728553
MonotonicityNot monotonic
2024-06-08T15:25:20.787366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 1415
 
1.1%
40 1017
 
0.8%
60 998
 
0.8%
55 891
 
0.7%
45 816
 
0.7%
98 787
 
0.6%
65 525
 
0.4%
35 483
 
0.4%
30 474
 
0.4%
48 373
 
0.3%
Other values (84) 8554
 
6.9%
(Missing) 107980
86.9%
ValueCountFrequency (%)
1 15
< 0.1%
2 11
< 0.1%
3 16
< 0.1%
4 21
< 0.1%
5 25
< 0.1%
ValueCountFrequency (%)
99 73
 
0.1%
98 787
0.6%
97 1
 
< 0.1%
94 1
 
< 0.1%
91 1
 
< 0.1%

DIABEDU1
Categorical

MISSING 

Distinct7
Distinct (%)0.2%
Missing121072
Missing (%)97.4%
Memory size5.1 MiB
0.0
1538 
6.0
471 
1.0
386 
4.0
235 
5.0
231 
Other values (2)
380 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1538
 
1.2%
6.0 471
 
0.4%
1.0 386
 
0.3%
4.0 235
 
0.2%
5.0 231
 
0.2%
2.0 219
 
0.2%
3.0 161
 
0.1%
(Missing) 121072
97.4%

Common Values (Plot)

2024-06-08T15:25:21.510719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABETE4
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing189
Missing (%)0.2%
Memory size5.1 MiB
3.0
103554 
1.0
16332 
4.0
 
2910
2.0
 
1328

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 103554
83.3%
1.0 16332
 
13.1%
4.0 2910
 
2.3%
2.0 1328
 
1.1%
(Missing) 189
 
0.2%

Common Values (Plot)

2024-06-08T15:25:21.972828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABEYE1
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing121333
Missing (%)97.6%
Memory size5.1 MiB
2.0
1282 
1.0
650 
4.0
369 
3.0
368 
0.0
311 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 1282
 
1.0%
1.0 650
 
0.5%
4.0 369
 
0.3%
3.0 368
 
0.3%
0.0 311
 
0.3%
(Missing) 121333
97.6%

Common Values (Plot)

2024-06-08T15:25:22.285310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABTYPE
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.1%
Missing121161
Missing (%)97.5%
Infinite0
Infinite (%)0.0%
Mean1.907360406
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:22.557464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.289972716
Coefficient of variation (CV)0.1520282769
Kurtosis5.907888889
Mean1.907360406
Median Absolute Deviation (MAD)0
Skewness-2.811430353
Sum6012
Variance0.084084176
MonotonicityNot monotonic
2024-06-08T15:25:22.841460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2860
 
2.3%
1 292
 
0.2%
(Missing) 121161
97.5%
ValueCountFrequency (%)
1 292
 
0.2%
2 2860
2.3%
ValueCountFrequency (%)
2 2860
2.3%
1 292
 
0.2%

DIFFALON
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing284
Missing (%)0.2%
Memory size5.9 MiB
False
115472 
True
 
8557
(Missing)
 
284
ValueCountFrequency (%)
False 115472
92.9%
True 8557
 
6.9%
(Missing) 284
 
0.2%
2024-06-08T15:25:23.130121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFDRES
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing157
Missing (%)0.1%
Memory size5.9 MiB
False
119918 
True
 
4238
(Missing)
 
157
ValueCountFrequency (%)
False 119918
96.5%
True 4238
 
3.4%
(Missing) 157
 
0.1%
2024-06-08T15:25:23.384711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIFFWALK
Boolean

Distinct2
Distinct (%)< 0.1%
Missing355
Missing (%)0.3%
Memory size5.9 MiB
False
106872 
True
17086 
(Missing)
 
355
ValueCountFrequency (%)
False 106872
86.0%
True 17086
 
13.7%
(Missing) 355
 
0.3%
2024-06-08T15:25:23.629361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DISPCODE
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1111.616645
Minimum1100
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:23.877513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1100
Q11100
median1100
Q31100
95-th percentile1200
Maximum1200
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation32.0425705
Coefficient of variation (CV)0.02882519855
Kurtosis3.739970822
Mean1111.616645
Median Absolute Deviation (MAD)0
Skewness2.395811064
Sum138188400
Variance1026.726324
MonotonicityNot monotonic
2024-06-08T15:25:24.137156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1100 109872
88.4%
1200 14441
 
11.6%
ValueCountFrequency (%)
1100 109872
88.4%
1200 14441
 
11.6%
ValueCountFrequency (%)
1200 14441
 
11.6%
1100 109872
88.4%

DRNK3GE5
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)0.1%
Missing55614
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1.386745076
Minimum0
Maximum76
Zeros46943
Zeros (%)37.8%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:24.429995image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile7
Maximum76
Range76
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.973055429
Coefficient of variation (CV)2.865022199
Kurtosis38.07894354
Mean1.386745076
Median Absolute Deviation (MAD)0
Skewness5.40232616
Sum95268
Variance15.78516944
MonotonicityNot monotonic
2024-06-08T15:25:24.734498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 46943
37.8%
1 7681
 
6.2%
2 4405
 
3.5%
3 2053
 
1.7%
4 2040
 
1.6%
5 1544
 
1.2%
10 692
 
0.6%
30 595
 
0.5%
6 591
 
0.5%
8 562
 
0.5%
Other values (25) 1593
 
1.3%
(Missing) 55614
44.7%
ValueCountFrequency (%)
0 46943
37.8%
1 7681
 
6.2%
2 4405
 
3.5%
3 2053
 
1.7%
4 2040
 
1.6%
ValueCountFrequency (%)
76 5
< 0.1%
60 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%
36 1
 
< 0.1%

DRNKANY6
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1396
Missing (%)1.1%
Memory size5.9 MiB
True
69704 
False
53213 
(Missing)
 
1396
ValueCountFrequency (%)
True 69704
56.1%
False 53213
42.8%
(Missing) 1396
 
1.1%
2024-06-08T15:25:25.052407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DROCDY4_
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)< 0.1%
Missing1396
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean16.96727873
Minimum0
Maximum100
Zeros53213
Zeros (%)42.8%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:25.284209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile86
Maximum100
Range100
Interquartile range (IQR)23

Descriptive statistics

Standard deviation26.41952894
Coefficient of variation (CV)1.557086988
Kurtosis2.675637909
Mean16.96727873
Median Absolute Deviation (MAD)3
Skewness1.876041943
Sum2085567
Variance697.9915096
MonotonicityNot monotonic
2024-06-08T15:25:25.549916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 53213
42.8%
3 10247
 
8.2%
7 8346
 
6.7%
14 6320
 
5.1%
29 5642
 
4.5%
100 5152
 
4.1%
10 4926
 
4.0%
43 4035
 
3.2%
13 3903
 
3.1%
17 3651
 
2.9%
Other values (25) 17482
 
14.1%
ValueCountFrequency (%)
0 53213
42.8%
3 10247
 
8.2%
7 8346
 
6.7%
10 4926
 
4.0%
13 3903
 
3.1%
ValueCountFrequency (%)
100 5152
4.1%
97 109
 
0.1%
93 262
 
0.2%
90 103
 
0.1%
87 61
 
< 0.1%

ECIGNOW2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing421
Missing (%)0.3%
Memory size5.1 MiB
1.0
91768 
4.0
23745 
3.0
 
4239
2.0
 
4140

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row4.0

Common Values

ValueCountFrequency (%)
1.0 91768
73.8%
4.0 23745
 
19.1%
3.0 4239
 
3.4%
2.0 4140
 
3.3%
(Missing) 421
 
0.3%

Common Values (Plot)

2024-06-08T15:25:25.841393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EDUCA
Categorical

Distinct6
Distinct (%)< 0.1%
Missing400
Missing (%)0.3%
Memory size5.1 MiB
6.0
54090 
5.0
35221 
4.0
28543 
3.0
 
3981
2.0
 
1930

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6.0
2nd row3.0
3rd row4.0
4th row4.0
5th row5.0

Common Values

ValueCountFrequency (%)
6.0 54090
43.5%
5.0 35221
28.3%
4.0 28543
23.0%
3.0 3981
 
3.2%
2.0 1930
 
1.6%
1.0 148
 
0.1%
(Missing) 400
 
0.3%

Common Values (Plot)

2024-06-08T15:25:26.106818image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing976
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean3.166105873
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:26.325622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.731061717
Coefficient of variation (CV)0.8625933013
Kurtosis-1.374725542
Mean3.166105873
Median Absolute Deviation (MAD)0
Skewness0.6687432771
Sum390498
Variance7.458698101
MonotonicityNot monotonic
2024-06-08T15:25:27.241357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 66062
53.1%
7 26570
21.4%
2 10745
 
8.6%
8 6638
 
5.3%
5 4654
 
3.7%
6 4012
 
3.2%
4 2542
 
2.0%
3 2114
 
1.7%
(Missing) 976
 
0.8%
ValueCountFrequency (%)
1 66062
53.1%
2 10745
 
8.6%
3 2114
 
1.7%
4 2542
 
2.0%
5 4654
 
3.7%
ValueCountFrequency (%)
8 6638
 
5.3%
7 26570
21.4%
6 4012
 
3.2%
5 4654
 
3.7%
4 2542
 
2.0%

EMTSUPRT
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing45647
Missing (%)36.7%
Memory size5.1 MiB
1.0
37035 
2.0
25210 
3.0
10764 
4.0
 
3276
5.0
 
2381

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 37035
29.8%
2.0 25210
20.3%
3.0 10764
 
8.7%
4.0 3276
 
2.6%
5.0 2381
 
1.9%
(Missing) 45647
36.7%

Common Values (Plot)

2024-06-08T15:25:27.591434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EXERANY2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing234
Missing (%)0.2%
Memory size5.9 MiB
True
96333 
False
27746 
(Missing)
 
234
ValueCountFrequency (%)
True 96333
77.5%
False 27746
 
22.3%
(Missing) 234
 
0.2%
2024-06-08T15:25:27.898582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EYEEXAM1
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing120989
Missing (%)97.3%
Memory size5.1 MiB
2.0
1489 
1.0
864 
3.0
454 
4.0
414 
0.0
 
103

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 1489
 
1.2%
1.0 864
 
0.7%
3.0 454
 
0.4%
4.0 414
 
0.3%
0.0 103
 
0.1%
(Missing) 120989
97.3%

Common Values (Plot)

2024-06-08T15:25:28.139944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FEETSORE
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing120929
Missing (%)97.3%
Memory size5.9 MiB
False
 
3031
True
 
353
(Missing)
120929 
ValueCountFrequency (%)
False 3031
 
2.4%
True 353
 
0.3%
(Missing) 120929
97.3%
2024-06-08T15:25:28.389101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FIREARM5
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing112059
Missing (%)90.1%
Memory size5.9 MiB
False
 
7471
True
 
4783
(Missing)
112059 
ValueCountFrequency (%)
False 7471
 
6.0%
True 4783
 
3.8%
(Missing) 112059
90.1%
2024-06-08T15:25:28.596316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FLSHTMY3
Date

MISSING 

Distinct26
Distinct (%)< 0.1%
Missing69741
Missing (%)56.1%
Memory size5.9 MiB
Minimum2021-01-01 00:00:00
Maximum2023-02-01 00:00:00
2024-06-08T15:25:28.799709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-08T15:25:29.043861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

FLUSHOT7
Boolean

Distinct2
Distinct (%)< 0.1%
Missing815
Missing (%)0.7%
Memory size5.9 MiB
False
64028 
True
59470 
(Missing)
 
815
ValueCountFrequency (%)
False 64028
51.5%
True 59470
47.8%
(Missing) 815
 
0.7%
2024-06-08T15:25:29.303571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.319218424
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:29.495673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.389277979
Coefficient of variation (CV)0.4630655601
Kurtosis-1.066219838
Mean7.319218424
Median Absolute Deviation (MAD)3
Skewness-0.3459372608
Sum909874
Variance11.48720522
MonotonicityNot monotonic
2024-06-08T15:25:29.706544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11 16253
13.1%
10 12609
10.1%
9 12499
10.1%
12 12447
10.0%
8 11912
9.6%
7 10552
8.5%
6 9584
7.7%
5 8086
6.5%
3 8016
6.4%
1 7782
6.3%
Other values (2) 14573
11.7%
ValueCountFrequency (%)
1 7782
6.3%
2 7035
5.7%
3 8016
6.4%
4 7538
6.1%
5 8086
6.5%
ValueCountFrequency (%)
12 12447
10.0%
11 16253
13.1%
10 12609
10.1%
9 12499
10.1%
8 11912
9.6%

FOODSTMP
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing45337
Missing (%)36.5%
Memory size5.9 MiB
False
70765 
True
8211 
(Missing)
45337 
ValueCountFrequency (%)
False 70765
56.9%
True 8211
 
6.6%
(Missing) 45337
36.5%
2024-06-08T15:25:29.985943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GENHLTH
Categorical

Distinct5
Distinct (%)< 0.1%
Missing259
Missing (%)0.2%
Memory size5.1 MiB
2.0
42575 
3.0
40427 
1.0
19491 
4.0
16547 
5.0
5014 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row4.0
3rd row4.0
4th row3.0
5th row5.0

Common Values

ValueCountFrequency (%)
2.0 42575
34.2%
3.0 40427
32.5%
1.0 19491
15.7%
4.0 16547
 
13.3%
5.0 5014
 
4.0%
(Missing) 259
 
0.2%

Common Values (Plot)

2024-06-08T15:25:30.246177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

GUNLOAD
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing119654
Missing (%)96.3%
Memory size5.9 MiB
False
 
3244
True
 
1415
(Missing)
119654 
ValueCountFrequency (%)
False 3244
 
2.6%
True 1415
 
1.1%
(Missing) 119654
96.3%
2024-06-08T15:25:30.494189image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADHYST2
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing58122
Missing (%)46.8%
Memory size5.9 MiB
False
50310 
True
15881 
(Missing)
58122 
ValueCountFrequency (%)
False 50310
40.5%
True 15881
 
12.8%
(Missing) 58122
46.8%
2024-06-08T15:25:30.700372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADMAM
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing57168
Missing (%)46.0%
Memory size5.9 MiB
True
48053 
False
19092 
(Missing)
57168 
ValueCountFrequency (%)
True 48053
38.7%
False 19092
 
15.4%
(Missing) 57168
46.0%
2024-06-08T15:25:30.939545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSEX
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing115970
Missing (%)93.3%
Memory size5.9 MiB
True
 
6809
False
 
1534
(Missing)
115970 
ValueCountFrequency (%)
True 6809
 
5.5%
False 1534
 
1.2%
(Missing) 115970
93.3%
2024-06-08T15:25:31.167758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HADSIGM4
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing48574
Missing (%)39.1%
Memory size5.9 MiB
True
55517 
False
20222 
(Missing)
48574 
ValueCountFrequency (%)
True 55517
44.7%
False 20222
 
16.3%
(Missing) 48574
39.1%
2024-06-08T15:25:31.400177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVARTH4
Boolean

Distinct2
Distinct (%)< 0.1%
Missing644
Missing (%)0.5%
Memory size5.9 MiB
False
84046 
True
39623 
(Missing)
 
644
ValueCountFrequency (%)
False 84046
67.6%
True 39623
31.9%
(Missing) 644
 
0.5%
2024-06-08T15:25:31.611507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HAVECFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124313
Missing (%)100.0%
Memory size5.9 MiB

HEATTBCO
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing119834
Missing (%)96.4%
Memory size5.9 MiB
False
 
3911
True
 
568
(Missing)
119834 
ValueCountFrequency (%)
False 3911
 
3.1%
True 568
 
0.5%
(Missing) 119834
96.4%
2024-06-08T15:25:31.875560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HHADULT
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)< 0.1%
Missing18076
Missing (%)14.5%
Infinite0
Infinite (%)0.0%
Mean2.837307153
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:32.247592image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.6430926
Coefficient of variation (CV)2.693783996
Kurtosis150.8879495
Mean2.837307153
Median Absolute Deviation (MAD)0
Skewness12.23764064
Sum301427
Variance58.4168645
MonotonicityNot monotonic
2024-06-08T15:25:32.571356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 54008
43.4%
1 22321
18.0%
3 17212
 
13.8%
4 8142
 
6.5%
5 2606
 
2.1%
6 786
 
0.6%
99 652
 
0.5%
7 258
 
0.2%
8 92
 
0.1%
10 48
 
< 0.1%
Other values (15) 112
 
0.1%
(Missing) 18076
 
14.5%
ValueCountFrequency (%)
1 22321
18.0%
2 54008
43.4%
3 17212
 
13.8%
4 8142
 
6.5%
5 2606
 
2.1%
ValueCountFrequency (%)
99 652
0.5%
60 1
 
< 0.1%
54 1
 
< 0.1%
53 1
 
< 0.1%
45 1
 
< 0.1%

HIVRISK5
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing429
Missing (%)0.3%
Memory size5.9 MiB
False
116590 
True
 
7294
(Missing)
 
429
ValueCountFrequency (%)
False 116590
93.8%
True 7294
 
5.9%
(Missing) 429
 
0.3%
2024-06-08T15:25:32.975548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTST7
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing5857
Missing (%)4.7%
Memory size5.9 MiB
False
71947 
True
46509 
(Missing)
 
5857
ValueCountFrequency (%)
False 71947
57.9%
True 46509
37.4%
(Missing) 5857
 
4.7%
2024-06-08T15:25:33.295929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HIVTSTD3
Date

MISSING 

Distinct458
Distinct (%)1.3%
Missing90347
Missing (%)72.7%
Memory size5.9 MiB
Minimum1985-01-01 00:00:00
Maximum2023-02-01 00:00:00
2024-06-08T15:25:33.672450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-08T15:25:34.105572image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

HOWLONG
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing76845
Missing (%)61.8%
Memory size5.1 MiB
1.0
28359 
2.0
8592 
5.0
4268 
3.0
3555 
4.0
 
2694

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 28359
 
22.8%
2.0 8592
 
6.9%
5.0 4268
 
3.4%
3.0 3555
 
2.9%
4.0 2694
 
2.2%
(Missing) 76845
61.8%

Common Values (Plot)

2024-06-08T15:25:34.557791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HPVADSHT
Categorical

MISSING 

Distinct3
Distinct (%)0.5%
Missing123729
Missing (%)99.5%
Memory size5.1 MiB
3.0
281 
2.0
200 
1.0
103 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row3.0
3rd row3.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 281
 
0.2%
2.0 200
 
0.2%
1.0 103
 
0.1%
(Missing) 123729
99.5%

Common Values (Plot)

2024-06-08T15:25:35.029072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HPVADVC4
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing121741
Missing (%)97.9%
Memory size5.9 MiB
False
 
1829
True
 
743
(Missing)
121741 
ValueCountFrequency (%)
False 1829
 
1.5%
True 743
 
0.6%
(Missing) 121741
97.9%
2024-06-08T15:25:35.472475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

HTM4
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)0.1%
Missing2302
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean170.5619985
Minimum91
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:35.919154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum91
5-th percentile155
Q1163
median170
Q3178
95-th percentile188
Maximum241
Range150
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.65351123
Coefficient of variation (CV)0.06246122421
Kurtosis0.1766698003
Mean170.5619985
Median Absolute Deviation (MAD)8
Skewness0.05475130149
Sum20810440
Variance113.4973016
MonotonicityNot monotonic
2024-06-08T15:25:36.448336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 10988
 
8.8%
163 10527
 
8.5%
170 10174
 
8.2%
165 9714
 
7.8%
178 9370
 
7.5%
173 8959
 
7.2%
175 8593
 
6.9%
183 8336
 
6.7%
160 8169
 
6.6%
157 7560
 
6.1%
Other values (84) 29621
23.8%
ValueCountFrequency (%)
91 8
< 0.1%
92 1
 
< 0.1%
95 1
 
< 0.1%
97 1
 
< 0.1%
100 1
 
< 0.1%
ValueCountFrequency (%)
241 2
< 0.1%
236 1
 
< 0.1%
234 1
 
< 0.1%
229 3
< 0.1%
226 3
< 0.1%

IDAY
Real number (ℝ)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.59707352
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:36.955002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.558633046
Coefficient of variation (CV)0.5487332632
Kurtosis-1.137989223
Mean15.59707352
Median Absolute Deviation (MAD)7
Skewness0.03043044227
Sum1938919
Variance73.25019962
MonotonicityNot monotonic
2024-06-08T15:25:37.449750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21 4663
 
3.8%
9 4556
 
3.7%
22 4496
 
3.6%
12 4416
 
3.6%
14 4391
 
3.5%
19 4384
 
3.5%
16 4353
 
3.5%
13 4345
 
3.5%
11 4345
 
3.5%
15 4331
 
3.5%
Other values (21) 80033
64.4%
ValueCountFrequency (%)
1 3542
2.8%
2 3902
3.1%
3 3958
3.2%
4 3734
3.0%
5 4028
3.2%
ValueCountFrequency (%)
31 1816
1.5%
30 3222
2.6%
29 3799
3.1%
28 4163
3.3%
27 3849
3.1%

IMFVPLA3
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)0.4%
Missing121682
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean3.916381604
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:37.919389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile8
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.383052006
Coefficient of variation (CV)0.6084830967
Kurtosis-0.6783789437
Mean3.916381604
Median Absolute Deviation (MAD)1
Skewness0.1931719619
Sum10304
Variance5.678936864
MonotonicityNot monotonic
2024-06-08T15:25:38.362013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 1185
 
1.0%
1 851
 
0.7%
8 175
 
0.1%
6 145
 
0.1%
3 117
 
0.1%
2 71
 
0.1%
9 44
 
< 0.1%
10 23
 
< 0.1%
4 11
 
< 0.1%
11 8
 
< 0.1%
(Missing) 121682
97.9%
ValueCountFrequency (%)
1 851
0.7%
2 71
 
0.1%
3 117
 
0.1%
4 11
 
< 0.1%
5 1185
1.0%
ValueCountFrequency (%)
11 8
 
< 0.1%
10 23
 
< 0.1%
9 44
 
< 0.1%
8 175
0.1%
7 1
 
< 0.1%

IMONTH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.085904129
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:38.819938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.530597264
Coefficient of variation (CV)0.4982564257
Kurtosis-1.159612338
Mean7.085904129
Median Absolute Deviation (MAD)3
Skewness-0.2514042331
Sum880870
Variance12.46511704
MonotonicityNot monotonic
2024-06-08T15:25:39.263302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12 14941
12.0%
11 12502
10.1%
8 12275
9.9%
10 11637
9.4%
9 11195
9.0%
1 10730
8.6%
7 9666
7.8%
6 9476
7.6%
5 9165
7.4%
3 7782
6.3%
Other values (2) 14944
12.0%
ValueCountFrequency (%)
1 10730
8.6%
2 7732
6.2%
3 7782
6.3%
4 7212
5.8%
5 9165
7.4%
ValueCountFrequency (%)
12 14941
12.0%
11 12502
10.1%
10 11637
9.4%
9 11195
9.0%
8 12275
9.9%

INCOME3
Categorical

MISSING 

Distinct11
Distinct (%)< 0.1%
Missing19424
Missing (%)15.6%
Memory size5.1 MiB
7.0
18058 
9.0
17360 
8.0
15650 
6.0
13047 
5.0
11389 
Other values (6)
29385 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10.0
2nd row6.0
3rd row2.0
4th row6.0
5th row2.0

Common Values

ValueCountFrequency (%)
7.0 18058
14.5%
9.0 17360
14.0%
8.0 15650
12.6%
6.0 13047
10.5%
5.0 11389
9.2%
11.0 8224
6.6%
10.0 7904
6.4%
4.0 5089
 
4.1%
3.0 3460
 
2.8%
2.0 2372
 
1.9%
(Missing) 19424
15.6%

INSULIN1
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120931
Missing (%)97.3%
Memory size5.9 MiB
False
 
2252
True
 
1130
(Missing)
120931 
ValueCountFrequency (%)
False 2252
 
1.8%
True 1130
 
0.9%
(Missing) 120931
97.3%
2024-06-08T15:25:39.750739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IYEAR
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022.070218
Minimum2022
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:40.155844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022
5-th percentile2022
Q12022
median2022
Q32022
95-th percentile2023
Maximum2023
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2555149446
Coefficient of variation (CV)0.0001263630423
Kurtosis9.317323157
Mean2022.070218
Median Absolute Deviation (MAD)0
Skewness3.364100661
Sum251369615
Variance0.0652878869
MonotonicityNot monotonic
2024-06-08T15:25:40.613035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2022 115584
93.0%
2023 8729
 
7.0%
ValueCountFrequency (%)
2022 115584
93.0%
2023 8729
 
7.0%
ValueCountFrequency (%)
2023 8729
 
7.0%
2022 115584
93.0%

LADULT1
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing106458
Missing (%)85.6%
Memory size5.9 MiB
True
17823 
False
 
32
(Missing)
106458 
ValueCountFrequency (%)
True 17823
 
14.3%
False 32
 
< 0.1%
(Missing) 106458
85.6%
2024-06-08T15:25:40.909466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDLINE
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing18202
Missing (%)14.6%
Memory size5.9 MiB
False
85639 
True
20472 
(Missing)
18202 
ValueCountFrequency (%)
False 85639
68.9%
True 20472
 
16.5%
(Missing) 18202
 
14.6%
2024-06-08T15:25:41.128085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing117771
Missing (%)94.7%
Infinite0
Infinite (%)0.0%
Mean1.695200245
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:41.302752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4606897257
Coefficient of variation (CV)0.271761243
Kurtosis-1.275157065
Mean1.695200245
Median Absolute Deviation (MAD)0
Skewness-0.8436035726
Sum11090
Variance0.2122350233
MonotonicityNot monotonic
2024-06-08T15:25:41.529197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 4546
 
3.7%
1 1995
 
1.6%
3 1
 
< 0.1%
(Missing) 117771
94.7%
ValueCountFrequency (%)
1 1995
1.6%
2 4546
3.7%
3 1
 
< 0.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
2 4546
3.7%
1 1995
1.6%

LASTDEN4
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing2217
Missing (%)1.8%
Memory size5.1 MiB
1.0
83564 
2.0
14894 
3.0
12929 
4.0
10709 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 83564
67.2%
2.0 14894
 
12.0%
3.0 12929
 
10.4%
4.0 10709
 
8.6%
(Missing) 2217
 
1.8%

Common Values (Plot)

2024-06-08T15:25:41.807145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSIG4
Categorical

MISSING 

Distinct5
Distinct (%)0.8%
Missing123714
Missing (%)99.5%
Memory size5.1 MiB
3.0
185 
1.0
155 
4.0
92 
2.0
85 
5.0
82 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row5.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 185
 
0.1%
1.0 155
 
0.1%
4.0 92
 
0.1%
2.0 85
 
0.1%
5.0 82
 
0.1%
(Missing) 123714
99.5%

Common Values (Plot)

2024-06-08T15:25:42.104260image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LASTSMK2
Categorical

MISSING 

Distinct8
Distinct (%)0.1%
Missing110628
Missing (%)89.0%
Memory size5.1 MiB
7.0
8466 
5.0
2044 
6.0
1503 
4.0
 
527
1.0
 
424
Other values (3)
 
721

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7.0
2nd row7.0
3rd row7.0
4th row7.0
5th row7.0

Common Values

ValueCountFrequency (%)
7.0 8466
 
6.8%
5.0 2044
 
1.6%
6.0 1503
 
1.2%
4.0 527
 
0.4%
1.0 424
 
0.3%
2.0 316
 
0.3%
3.0 289
 
0.2%
8.0 116
 
0.1%
(Missing) 110628
89.0%

Common Values (Plot)

2024-06-08T15:25:42.411267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTSC1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing4707
Missing (%)3.8%
Memory size5.9 MiB
False
69024 
True
50582 
(Missing)
 
4707
ValueCountFrequency (%)
False 69024
55.5%
True 50582
40.7%
(Missing) 4707
 
3.8%
2024-06-08T15:25:42.717075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSCTWHN
Categorical

MISSING 

Distinct6
Distinct (%)0.1%
Missing116503
Missing (%)93.7%
Memory size5.1 MiB
1.0
3607 
2.0
1156 
4.0
842 
6.0
794 
5.0
729 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row6.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 3607
 
2.9%
2.0 1156
 
0.9%
4.0 842
 
0.7%
6.0 794
 
0.6%
5.0 729
 
0.6%
3.0 682
 
0.5%
(Missing) 116503
93.7%

Common Values (Plot)

2024-06-08T15:25:42.992829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LCSFIRST
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)0.2%
Missing80560
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean20.79964802
Minimum1
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:43.268905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q115
median17
Q319
95-th percentile25
Maximum999
Range998
Interquartile range (IQR)4

Descriptive statistics

Standard deviation56.22198937
Coefficient of variation (CV)2.703025999
Kurtosis296.5609517
Mean20.79964802
Median Absolute Deviation (MAD)2
Skewness17.21593172
Sum910047
Variance3160.912089
MonotonicityNot monotonic
2024-06-08T15:25:43.561489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7798
 
6.3%
16 6472
 
5.2%
15 4709
 
3.8%
17 3966
 
3.2%
20 3145
 
2.5%
14 3007
 
2.4%
19 2657
 
2.1%
13 2217
 
1.8%
21 1663
 
1.3%
12 1640
 
1.3%
Other values (62) 6479
 
5.2%
(Missing) 80560
64.8%
ValueCountFrequency (%)
1 19
< 0.1%
2 3
 
< 0.1%
3 7
 
< 0.1%
4 16
 
< 0.1%
5 45
< 0.1%
ValueCountFrequency (%)
999 143
0.1%
99 2
 
< 0.1%
88 2
 
< 0.1%
78 1
 
< 0.1%
77 2
 
< 0.1%

LCSLAST
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)0.3%
Missing89731
Missing (%)72.2%
Infinite0
Infinite (%)0.0%
Mean36.11234168
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:43.855526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20
Q125
median33
Q345
95-th percentile62
Maximum99
Range98
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.42036733
Coefficient of variation (CV)0.3716282774
Kurtosis-0.05892048958
Mean36.11234168
Median Absolute Deviation (MAD)9
Skewness0.756782239
Sum1248837
Variance180.1062593
MonotonicityNot monotonic
2024-06-08T15:25:44.162840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 2457
 
2.0%
40 1798
 
1.4%
25 1784
 
1.4%
35 1646
 
1.3%
50 1289
 
1.0%
22 1249
 
1.0%
21 1166
 
0.9%
28 1124
 
0.9%
20 1079
 
0.9%
45 1076
 
0.9%
Other values (80) 19914
 
16.0%
(Missing) 89731
72.2%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 5
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
6 4
< 0.1%
ValueCountFrequency (%)
99 2
< 0.1%
96 1
< 0.1%
93 1
< 0.1%
89 1
< 0.1%
88 2
< 0.1%

LCSNUMCG
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)0.2%
Missing81350
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean14.75932779
Minimum0
Maximum253
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:44.439533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q320
95-th percentile40
Maximum253
Range253
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.27844996
Coefficient of variation (CV)0.8319111911
Kurtosis28.6920257
Mean14.75932779
Median Absolute Deviation (MAD)7
Skewness3.298659529
Sum634105
Variance150.7603335
MonotonicityNot monotonic
2024-06-08T15:25:44.742654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 11567
 
9.3%
10 9657
 
7.8%
5 3469
 
2.8%
15 2623
 
2.1%
3 1892
 
1.5%
40 1793
 
1.4%
2 1632
 
1.3%
30 1608
 
1.3%
4 1529
 
1.2%
1 1427
 
1.1%
Other values (86) 5766
 
4.6%
(Missing) 81350
65.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 1427
1.1%
2 1632
1.3%
3 1892
1.5%
4 1529
1.2%
ValueCountFrequency (%)
253 1
 
< 0.1%
243 1
 
< 0.1%
240 1
 
< 0.1%
205 1
 
< 0.1%
203 4
< 0.1%

LCSSCNCR
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing75975
Missing (%)61.1%
Memory size5.9 MiB
False
40259 
True
8079 
(Missing)
75975 
ValueCountFrequency (%)
False 40259
32.4%
True 8079
 
6.5%
(Missing) 75975
61.1%
2024-06-08T15:25:45.031798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LOADULK2
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing122910
Missing (%)98.9%
Memory size5.9 MiB
False
 
707
True
 
696
(Missing)
122910 
ValueCountFrequency (%)
False 707
 
0.6%
True 696
 
0.6%
(Missing) 122910
98.9%
2024-06-08T15:25:45.245470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LSATISFY
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing45364
Missing (%)36.5%
Memory size5.1 MiB
2.0
38936 
1.0
35750 
3.0
 
3348
4.0
 
915

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 38936
31.3%
1.0 35750
28.8%
3.0 3348
 
2.7%
4.0 915
 
0.7%
(Missing) 45364
36.5%

Common Values (Plot)

2024-06-08T15:25:45.481050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARIJAN1
Real number (ℝ)

MISSING  ZEROS 

Distinct30
Distinct (%)0.1%
Missing95848
Missing (%)77.1%
Infinite0
Infinite (%)0.0%
Mean2.097874583
Minimum0
Maximum30
Zeros24673
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:45.724154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile25
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.942243766
Coefficient of variation (CV)3.309179597
Kurtosis10.39055872
Mean2.097874583
Median Absolute Deviation (MAD)0
Skewness3.434752902
Sum59716
Variance48.1947485
MonotonicityNot monotonic
2024-06-08T15:25:45.977406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 24673
 
19.8%
30 1308
 
1.1%
1 477
 
0.4%
2 362
 
0.3%
20 230
 
0.2%
10 228
 
0.2%
15 217
 
0.2%
5 214
 
0.2%
3 175
 
0.1%
4 158
 
0.1%
Other values (20) 423
 
0.3%
(Missing) 95848
77.1%
ValueCountFrequency (%)
0 24673
19.8%
1 477
 
0.4%
2 362
 
0.3%
3 175
 
0.1%
4 158
 
0.1%
ValueCountFrequency (%)
30 1308
1.1%
29 24
 
< 0.1%
28 31
 
< 0.1%
27 6
 
< 0.1%
26 5
 
< 0.1%

MARITAL
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing866
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean2.334029989
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:46.204412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.763285416
Coefficient of variation (CV)0.755468192
Kurtosis-0.8658973339
Mean2.334029989
Median Absolute Deviation (MAD)0
Skewness0.8917819465
Sum288129
Variance3.109175457
MonotonicityNot monotonic
2024-06-08T15:25:46.419894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 67968
54.7%
5 23388
 
18.8%
2 14356
 
11.5%
3 8925
 
7.2%
6 6247
 
5.0%
4 2563
 
2.1%
(Missing) 866
 
0.7%
ValueCountFrequency (%)
1 67968
54.7%
2 14356
 
11.5%
3 8925
 
7.2%
4 2563
 
2.1%
5 23388
 
18.8%
ValueCountFrequency (%)
6 6247
 
5.0%
5 23388
18.8%
4 2563
 
2.1%
3 8925
 
7.2%
2 14356
11.5%

MARJDAB
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120543
Missing (%)97.0%
Memory size5.9 MiB
False
 
3247
True
 
523
(Missing)
120543 
ValueCountFrequency (%)
False 3247
 
2.6%
True 523
 
0.4%
(Missing) 120543
97.0%
2024-06-08T15:25:46.669409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJEAT
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120536
Missing (%)97.0%
Memory size5.9 MiB
False
 
2045
True
 
1732
(Missing)
120536 
ValueCountFrequency (%)
False 2045
 
1.6%
True 1732
 
1.4%
(Missing) 120536
97.0%
2024-06-08T15:25:46.907753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJOTHR
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.1%
Missing120545
Missing (%)97.0%
Memory size5.9 MiB
False
 
3533
True
 
235
(Missing)
120545 
ValueCountFrequency (%)
False 3533
 
2.8%
True 235
 
0.2%
(Missing) 120545
97.0%
2024-06-08T15:25:47.175713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJSMOK
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120532
Missing (%)97.0%
Memory size5.9 MiB
True
 
2827
False
 
954
(Missing)
120532 
ValueCountFrequency (%)
True 2827
 
2.3%
False 954
 
0.8%
(Missing) 120532
97.0%
2024-06-08T15:25:47.419177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARJVAPE
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120538
Missing (%)97.0%
Memory size5.9 MiB
False
 
2711
True
 
1064
(Missing)
120538 
ValueCountFrequency (%)
False 2711
 
2.2%
True 1064
 
0.9%
(Missing) 120538
97.0%
2024-06-08T15:25:47.671575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MAXDRNKS
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)0.1%
Missing56768
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean3.655133615
Minimum0
Maximum76
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:47.934886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum76
Range76
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.511003419
Coefficient of variation (CV)0.9605677354
Kurtosis43.98642101
Mean3.655133615
Median Absolute Deviation (MAD)1
Skewness4.445348802
Sum246886
Variance12.32714501
MonotonicityNot monotonic
2024-06-08T15:25:48.237355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 17120
 
13.8%
1 15432
 
12.4%
3 11145
 
9.0%
4 6376
 
5.1%
5 5045
 
4.1%
6 4184
 
3.4%
8 2058
 
1.7%
10 1799
 
1.4%
7 1614
 
1.3%
12 1001
 
0.8%
Other values (41) 1771
 
1.4%
(Missing) 56768
45.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 15432
12.4%
2 17120
13.8%
3 11145
9.0%
4 6376
 
5.1%
ValueCountFrequency (%)
76 2
< 0.1%
75 2
< 0.1%
72 1
< 0.1%
70 2
< 0.1%
69 1
< 0.1%

MEDCOST1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing323
Missing (%)0.3%
Memory size5.9 MiB
False
112198 
True
11792 
(Missing)
 
323
ValueCountFrequency (%)
False 112198
90.3%
True 11792
 
9.5%
(Missing) 323
 
0.3%
2024-06-08T15:25:48.544548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTCIGS
Boolean

MISSING 

Distinct2
Distinct (%)0.2%
Missing123101
Missing (%)99.0%
Memory size5.9 MiB
False
 
733
True
 
479
(Missing)
123101 
ValueCountFrequency (%)
False 733
 
0.6%
True 479
 
0.4%
(Missing) 123101
99.0%
2024-06-08T15:25:48.813376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTECIG
Boolean

MISSING 

Distinct2
Distinct (%)0.3%
Missing123522
Missing (%)99.4%
Memory size5.9 MiB
False
 
531
True
 
260
(Missing)
123522 
ValueCountFrequency (%)
False 531
 
0.4%
True 260
 
0.2%
(Missing) 123522
99.4%
2024-06-08T15:25:49.050324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MENTHLTH
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing2146
Missing (%)1.7%
Memory size5.9 MiB
False
102985 
True
19182 
(Missing)
 
2146
ValueCountFrequency (%)
False 102985
82.8%
True 19182
 
15.4%
(Missing) 2146
 
1.7%
2024-06-08T15:25:49.277706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MSCODE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing106914
Missing (%)86.0%
Infinite0
Infinite (%)0.0%
Mean2.998563136
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:49.466497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.674668832
Coefficient of variation (CV)0.5584904355
Kurtosis-1.637095957
Mean2.998563136
Median Absolute Deviation (MAD)2
Skewness0.1080176125
Sum52172
Variance2.804515696
MonotonicityNot monotonic
2024-06-08T15:25:49.673326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 6456
 
5.2%
1 5016
 
4.0%
3 3022
 
2.4%
2 2905
 
2.3%
(Missing) 106914
86.0%
ValueCountFrequency (%)
1 5016
4.0%
2 2905
2.3%
3 3022
2.4%
5 6456
5.2%
ValueCountFrequency (%)
5 6456
5.2%
3 3022
2.4%
2 2905
2.3%
1 5016
4.0%

NOBCUSE8
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)0.9%
Missing122905
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean7.487926136
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:49.911665image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median8
Q310
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.299864855
Coefficient of variation (CV)0.574239753
Kurtosis-1.369979643
Mean7.487926136
Median Absolute Deviation (MAD)5
Skewness0.164364552
Sum10543
Variance18.48883777
MonotonicityNot monotonic
2024-06-08T15:25:50.160131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3 348
 
0.3%
10 259
 
0.2%
14 256
 
0.2%
8 208
 
0.2%
4 96
 
0.1%
2 90
 
0.1%
11 48
 
< 0.1%
1 34
 
< 0.1%
5 28
 
< 0.1%
9 19
 
< 0.1%
Other values (3) 22
 
< 0.1%
(Missing) 122905
98.9%
ValueCountFrequency (%)
1 34
 
< 0.1%
2 90
 
0.1%
3 348
0.3%
4 96
 
0.1%
5 28
 
< 0.1%
ValueCountFrequency (%)
14 256
0.2%
13 2
 
< 0.1%
12 13
 
< 0.1%
11 48
 
< 0.1%
10 259
0.2%

NUMADULT
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.1%
Missing106463
Missing (%)85.6%
Infinite0
Infinite (%)0.0%
Mean1.817927171
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:50.390645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum18
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.830542771
Coefficient of variation (CV)0.4568625104
Kurtosis14.77262003
Mean1.817927171
Median Absolute Deviation (MAD)0
Skewness2.045135139
Sum32450
Variance0.6898012945
MonotonicityNot monotonic
2024-06-08T15:25:50.616543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 8980
 
7.2%
1 6543
 
5.3%
3 1659
 
1.3%
4 480
 
0.4%
5 132
 
0.1%
6 35
 
< 0.1%
7 8
 
< 0.1%
8 7
 
< 0.1%
9 2
 
< 0.1%
10 2
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 106463
85.6%
ValueCountFrequency (%)
1 6543
5.3%
2 8980
7.2%
3 1659
 
1.3%
4 480
 
0.4%
5 132
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
12 1
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 7
< 0.1%

NUMHHOL4
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing106524
Missing (%)85.7%
Memory size5.9 MiB
False
16503 
True
 
1286
(Missing)
106524 
ValueCountFrequency (%)
False 16503
 
13.3%
True 1286
 
1.0%
(Missing) 106524
85.7%
2024-06-08T15:25:51.091419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NUMMEN
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.1%
Missing113349
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean1.122126961
Minimum0
Maximum10
Zeros476
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:51.378966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5174569972
Coefficient of variation (CV)0.461139439
Kurtosis18.39899363
Mean1.122126961
Median Absolute Deviation (MAD)0
Skewness2.52684487
Sum12303
Variance0.267761744
MonotonicityNot monotonic
2024-06-08T15:25:51.800532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 8969
 
7.2%
2 1287
 
1.0%
0 476
 
0.4%
3 190
 
0.2%
4 31
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 113349
91.2%
ValueCountFrequency (%)
0 476
 
0.4%
1 8969
7.2%
2 1287
 
1.0%
3 190
 
0.2%
4 31
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
7 1
 
< 0.1%
6 4
 
< 0.1%
5 5
 
< 0.1%
4 31
< 0.1%

NUMPHON4
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.7%
Missing123027
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean1.781493002
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:52.214622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.46863433
Coefficient of variation (CV)0.8243840021
Kurtosis11.21435328
Mean1.781493002
Median Absolute Deviation (MAD)0
Skewness3.226087606
Sum2291
Variance2.156886796
MonotonicityNot monotonic
2024-06-08T15:25:52.620936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 727
 
0.6%
2 408
 
0.3%
3 73
 
0.1%
8 17
 
< 0.1%
4 16
 
< 0.1%
7 16
 
< 0.1%
9 16
 
< 0.1%
6 8
 
< 0.1%
5 5
 
< 0.1%
(Missing) 123027
99.0%
ValueCountFrequency (%)
1 727
0.6%
2 408
0.3%
3 73
 
0.1%
4 16
 
< 0.1%
5 5
 
< 0.1%
ValueCountFrequency (%)
9 16
< 0.1%
8 17
< 0.1%
7 16
< 0.1%
6 8
< 0.1%
5 5
 
< 0.1%

NUMWOMEN
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.1%
Missing113348
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean1.168171455
Minimum0
Maximum17
Zeros199
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:53.039035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5253420766
Coefficient of variation (CV)0.4497131603
Kurtosis91.79925675
Mean1.168171455
Median Absolute Deviation (MAD)0
Skewness5.104792654
Sum12809
Variance0.2759842975
MonotonicityNot monotonic
2024-06-08T15:25:53.409254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 9054
 
7.3%
2 1461
 
1.2%
3 206
 
0.2%
0 199
 
0.2%
4 33
 
< 0.1%
5 6
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
17 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 113348
91.2%
ValueCountFrequency (%)
0 199
 
0.2%
1 9054
7.3%
2 1461
 
1.2%
3 206
 
0.2%
4 33
 
< 0.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
10 1
 
< 0.1%
7 2
 
< 0.1%
6 2
 
< 0.1%
5 6
< 0.1%

PCPSARS2
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.3%
Missing123203
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.243243243
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:53.817604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5652423727
Coefficient of variation (CV)0.4546514737
Kurtosis3.714196216
Mean1.243243243
Median Absolute Deviation (MAD)0
Skewness2.228229905
Sum1380
Variance0.3194989399
MonotonicityNot monotonic
2024-06-08T15:25:54.283071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 915
 
0.7%
2 120
 
0.1%
3 75
 
0.1%
(Missing) 123203
99.1%
ValueCountFrequency (%)
1 915
0.7%
2 120
 
0.1%
3 75
 
0.1%
ValueCountFrequency (%)
3 75
 
0.1%
2 120
 
0.1%
1 915
0.7%

PCSTALK1
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)0.2%
Missing122694
Missing (%)98.7%
Infinite0
Infinite (%)0.0%
Mean3.28721433
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:54.679484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9581622993
Coefficient of variation (CV)0.2914815412
Kurtosis1.000277356
Mean3.28721433
Median Absolute Deviation (MAD)0
Skewness-1.402199803
Sum5322
Variance0.9180749917
MonotonicityNot monotonic
2024-06-08T15:25:55.130619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 852
 
0.7%
3 570
 
0.5%
1 190
 
0.2%
2 7
 
< 0.1%
(Missing) 122694
98.7%
ValueCountFrequency (%)
1 190
 
0.2%
2 7
 
< 0.1%
3 570
0.5%
4 852
0.7%
ValueCountFrequency (%)
4 852
0.7%
3 570
0.5%
2 7
 
< 0.1%
1 190
 
0.2%

PDIABTS1
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing87639
Missing (%)70.5%
Memory size5.1 MiB
1.0
24679 
2.0
4060 
0.0
3721 
3.0
 
1519
4.0
 
1270
Other values (2)
 
1425

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 24679
 
19.9%
2.0 4060
 
3.3%
0.0 3721
 
3.0%
3.0 1519
 
1.2%
4.0 1270
 
1.0%
5.0 815
 
0.7%
6.0 610
 
0.5%
(Missing) 87639
70.5%

Common Values (Plot)

2024-06-08T15:25:55.648108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PERSDOC3
Categorical

Distinct3
Distinct (%)< 0.1%
Missing988
Missing (%)0.8%
Memory size5.1 MiB
1.0
69004 
2.0
39022 
3.0
15299 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 69004
55.5%
2.0 39022
31.4%
3.0 15299
 
12.3%
(Missing) 988
 
0.8%

Common Values (Plot)

2024-06-08T15:25:56.213297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PFPPRVN4
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing117569
Missing (%)94.6%
Memory size5.9 MiB
True
 
5264
False
 
1480
(Missing)
117569 
ValueCountFrequency (%)
True 5264
 
4.2%
False 1480
 
1.2%
(Missing) 117569
94.6%
2024-06-08T15:25:56.574479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PHYSHLTH
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing2436
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean4.632408084
Minimum0
Maximum30
Zeros68325
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:57.013390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.532023162
Coefficient of variation (CV)1.841811647
Kurtosis3.236910043
Mean4.632408084
Median Absolute Deviation (MAD)0
Skewness2.098617104
Sum564584
Variance72.79541923
MonotonicityNot monotonic
2024-06-08T15:25:57.513877image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 68325
55.0%
30 8611
 
6.9%
2 7825
 
6.3%
5 5599
 
4.5%
3 5372
 
4.3%
1 5074
 
4.1%
10 3791
 
3.0%
7 3728
 
3.0%
4 2970
 
2.4%
15 2705
 
2.2%
Other values (21) 7877
 
6.3%
(Missing) 2436
 
2.0%
ValueCountFrequency (%)
0 68325
55.0%
1 5074
 
4.1%
2 7825
 
6.3%
3 5372
 
4.3%
4 2970
 
2.4%
ValueCountFrequency (%)
30 8611
6.9%
29 100
 
0.1%
28 214
 
0.2%
27 57
 
< 0.1%
26 40
 
< 0.1%

PNEUVAC4
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing10984
Missing (%)8.8%
Memory size5.9 MiB
False
72530 
True
40799 
(Missing)
10984 
ValueCountFrequency (%)
False 72530
58.3%
True 40799
32.8%
(Missing) 10984
 
8.8%
2024-06-08T15:25:58.041321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

POORHLTH
Real number (ℝ)

MISSING  ZEROS 

Distinct31
Distinct (%)< 0.1%
Missing46488
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean5.247311275
Minimum0
Maximum30
Zeros38001
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:25:58.482154image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.532167961
Coefficient of variation (CV)1.62600759
Kurtosis2.435836955
Mean5.247311275
Median Absolute Deviation (MAD)1
Skewness1.865747839
Sum408372
Variance72.79789011
MonotonicityNot monotonic
2024-06-08T15:25:58.991765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 38001
30.6%
2 5124
 
4.1%
30 5075
 
4.1%
5 4804
 
3.9%
1 3797
 
3.1%
3 3634
 
2.9%
10 3446
 
2.8%
15 3064
 
2.5%
7 2525
 
2.0%
4 2141
 
1.7%
Other values (21) 6214
 
5.0%
(Missing) 46488
37.4%
ValueCountFrequency (%)
0 38001
30.6%
1 3797
 
3.1%
2 5124
 
4.1%
3 3634
 
2.9%
4 2141
 
1.7%
ValueCountFrequency (%)
30 5075
4.1%
29 51
 
< 0.1%
28 130
 
0.1%
27 35
 
< 0.1%
26 28
 
< 0.1%

PREDIAB2
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)< 0.1%
Missing85335
Missing (%)68.6%
Memory size5.1 MiB
3.0
32872 
1.0
5560 
2.0
 
546

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 32872
 
26.4%
1.0 5560
 
4.5%
2.0 546
 
0.4%
(Missing) 85335
68.6%

Common Values (Plot)

2024-06-08T15:25:59.536221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PREGNANT
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing93205
Missing (%)75.0%
Memory size5.9 MiB
False
30172 
True
 
936
(Missing)
93205 
ValueCountFrequency (%)
False 30172
 
24.3%
True 936
 
0.8%
(Missing) 93205
75.0%
2024-06-08T15:25:59.867003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)< 0.1%
Missing3911
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.505415192
Minimum0
Maximum10
Zeros5804
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:00.057679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q33
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.318819425
Coefficient of variation (CV)0.9255230158
Kurtosis2.403910727
Mean2.505415192
Median Absolute Deviation (MAD)1
Skewness1.708730836
Sum301657
Variance5.376923525
MonotonicityNot monotonic
2024-06-08T15:26:00.270786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 55591
44.7%
3 28010
22.5%
2 10719
 
8.6%
5 8769
 
7.1%
0 5804
 
4.7%
7 4172
 
3.4%
9 3689
 
3.0%
10 2910
 
2.3%
8 547
 
0.4%
4 137
 
0.1%
(Missing) 3911
 
3.1%
ValueCountFrequency (%)
0 5804
 
4.7%
1 55591
44.7%
2 10719
 
8.6%
3 28010
22.5%
4 137
 
0.1%
ValueCountFrequency (%)
10 2910
2.3%
9 3689
3.0%
8 547
 
0.4%
7 4172
3.4%
6 54
 
< 0.1%

PSASUGST
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)0.3%
Missing123211
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean1.965517241
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:00.486411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3983271732
Coefficient of variation (CV)0.2026576846
Kurtosis3.231632328
Mean1.965517241
Median Absolute Deviation (MAD)0
Skewness-0.2862687956
Sum2166
Variance0.1586645369
MonotonicityNot monotonic
2024-06-08T15:26:00.684644image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 926
 
0.7%
1 107
 
0.1%
3 69
 
0.1%
(Missing) 123211
99.1%
ValueCountFrequency (%)
1 107
 
0.1%
2 926
0.7%
3 69
 
0.1%
ValueCountFrequency (%)
3 69
 
0.1%
2 926
0.7%
1 107
 
0.1%

PSATEST1
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing122431
Missing (%)98.5%
Memory size5.9 MiB
True
 
1121
False
 
761
(Missing)
122431 
ValueCountFrequency (%)
True 1121
 
0.9%
False 761
 
0.6%
(Missing) 122431
98.5%
2024-06-08T15:26:00.957106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSATIME1
Categorical

MISSING 

Distinct5
Distinct (%)0.5%
Missing123241
Missing (%)99.1%
Memory size5.1 MiB
1.0
707 
2.0
151 
5.0
85 
3.0
71 
4.0
 
58

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row1.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 707
 
0.6%
2.0 151
 
0.1%
5.0 85
 
0.1%
3.0 71
 
0.1%
4.0 58
 
< 0.1%
(Missing) 123241
99.1%

Common Values (Plot)

2024-06-08T15:26:01.233792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD1
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing106458
Missing (%)85.6%
Memory size5.9 MiB
True
17849 
False
 
6
(Missing)
106458 
ValueCountFrequency (%)
True 17849
 
14.4%
False 6
 
< 0.1%
(Missing) 106458
85.6%
2024-06-08T15:26:01.539365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PVTRESD3
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing17859
Missing (%)14.4%
Memory size5.9 MiB
True
106000 
False
 
454
(Missing)
17859 
ValueCountFrequency (%)
True 106000
85.3%
False 454
 
0.4%
(Missing) 17859
 
14.4%
2024-06-08T15:26:01.785227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTLANG
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.042143621
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:01.984676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2009175484
Coefficient of variation (CV)0.1927925713
Kurtosis18.77318446
Mean1.042143621
Median Absolute Deviation (MAD)0
Skewness4.557727771
Sum129552
Variance0.04036786125
MonotonicityNot monotonic
2024-06-08T15:26:02.206197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 119074
95.8%
2 5239
 
4.2%
ValueCountFrequency (%)
1 119074
95.8%
2 5239
 
4.2%
ValueCountFrequency (%)
2 5239
 
4.2%
1 119074
95.8%

QSTVER
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.18471117
Minimum10
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:02.408372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q120
median20
Q321
95-th percentile22
Maximum23
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.622792741
Coefficient of variation (CV)0.1888374919
Kurtosis1.879845238
Mean19.18471117
Median Absolute Deviation (MAD)0
Skewness-1.829598623
Sum2384909
Variance13.12462724
MonotonicityNot monotonic
2024-06-08T15:26:02.648494image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20 66428
53.4%
21 18457
 
14.8%
22 17010
 
13.7%
10 11312
 
9.1%
23 4563
 
3.7%
11 2934
 
2.4%
12 2728
 
2.2%
13 881
 
0.7%
ValueCountFrequency (%)
10 11312
 
9.1%
11 2934
 
2.4%
12 2728
 
2.2%
13 881
 
0.7%
20 66428
53.4%
ValueCountFrequency (%)
23 4563
 
3.7%
22 17010
 
13.7%
21 18457
 
14.8%
20 66428
53.4%
13 881
 
0.7%

RCSGEND1
Real number (ℝ)

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing101391
Missing (%)81.6%
Infinite0
Infinite (%)0.0%
Mean1.486781258
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:02.865649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5048732767
Coefficient of variation (CV)0.3395746845
Kurtosis-1.835766624
Mean1.486781258
Median Absolute Deviation (MAD)0
Skewness0.111882853
Sum34080
Variance0.2548970255
MonotonicityNot monotonic
2024-06-08T15:26:03.076997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 11822
 
9.5%
2 11042
 
8.9%
3 58
 
< 0.1%
(Missing) 101391
81.6%
ValueCountFrequency (%)
1 11822
9.5%
2 11042
8.9%
3 58
 
< 0.1%
ValueCountFrequency (%)
3 58
 
< 0.1%
2 11042
8.9%
1 11822
9.5%

RCSRLTN2
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)< 0.1%
Missing101129
Missing (%)81.4%
Infinite0
Infinite (%)0.0%
Mean1.427493099
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:03.298980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.078390516
Coefficient of variation (CV)0.7554435935
Kurtosis6.510332463
Mean1.427493099
Median Absolute Deviation (MAD)0
Skewness2.7155551
Sum33095
Variance1.162926105
MonotonicityNot monotonic
2024-06-08T15:26:03.533556image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 18955
 
15.2%
2 1874
 
1.5%
4 1055
 
0.8%
5 638
 
0.5%
6 332
 
0.3%
3 330
 
0.3%
(Missing) 101129
81.4%
ValueCountFrequency (%)
1 18955
15.2%
2 1874
 
1.5%
3 330
 
0.3%
4 1055
 
0.8%
5 638
 
0.5%
ValueCountFrequency (%)
6 332
 
0.3%
5 638
 
0.5%
4 1055
0.8%
3 330
 
0.3%
2 1874
1.5%

RCSXBRTH
Real number (ℝ)

MISSING 

Distinct2
Distinct (%)0.8%
Missing124066
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.518218623
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:03.738206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5006825268
Coefficient of variation (CV)0.329782891
Kurtosis-2.010966453
Mean1.518218623
Median Absolute Deviation (MAD)0
Skewness-0.07336923481
Sum375
Variance0.2506829927
MonotonicityNot monotonic
2024-06-08T15:26:03.953541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 128
 
0.1%
1 119
 
0.1%
(Missing) 124066
99.8%
ValueCountFrequency (%)
1 119
0.1%
2 128
0.1%
ValueCountFrequency (%)
2 128
0.1%
1 119
0.1%

RENTHOM1
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing910
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean1.364991127
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:04.182416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5774726113
Coefficient of variation (CV)0.4230596083
Kurtosis0.7622752164
Mean1.364991127
Median Absolute Deviation (MAD)0
Skewness1.331077374
Sum168444
Variance0.3334746168
MonotonicityNot monotonic
2024-06-08T15:26:04.386136image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 84637
68.1%
2 32491
 
26.1%
3 6275
 
5.0%
(Missing) 910
 
0.7%
ValueCountFrequency (%)
1 84637
68.1%
2 32491
 
26.1%
3 6275
 
5.0%
ValueCountFrequency (%)
3 6275
 
5.0%
2 32491
 
26.1%
1 84637
68.1%

RESPSLCT
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing113024
Missing (%)90.9%
Memory size5.9 MiB
False
 
6597
True
 
4692
(Missing)
113024 
ValueCountFrequency (%)
False 6597
 
5.3%
True 4692
 
3.8%
(Missing) 113024
90.9%
2024-06-08T15:26:04.644977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RMVTETH4
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing2221
Missing (%)1.8%
Memory size5.1 MiB
0.0
70888 
1.0
35248 
2.0
10825 
3.0
 
5131

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 70888
57.0%
1.0 35248
28.4%
2.0 10825
 
8.7%
3.0 5131
 
4.1%
(Missing) 2221
 
1.8%

Common Values (Plot)

2024-06-08T15:26:04.874856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRATWRK2
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing94542
Missing (%)76.1%
Memory size5.1 MiB
2.0
25723 
3.0
 
1987
1.0
 
1496
5.0
 
422
4.0
 
143

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 25723
 
20.7%
3.0 1987
 
1.6%
1.0 1496
 
1.2%
5.0 422
 
0.3%
4.0 143
 
0.1%
(Missing) 94542
76.1%

Common Values (Plot)

2024-06-08T15:26:05.141126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)< 0.1%
Missing75216
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean1.443550522
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:05.335488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.179590232
Coefficient of variation (CV)0.8171450974
Kurtosis14.03445208
Mean1.443550522
Median Absolute Deviation (MAD)0
Skewness3.587544638
Sum70874
Variance1.391433116
MonotonicityNot monotonic
2024-06-08T15:26:05.530730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 39436
31.7%
2 4380
 
3.5%
3 2844
 
2.3%
4 882
 
0.7%
6 630
 
0.5%
8 533
 
0.4%
7 307
 
0.2%
5 85
 
0.1%
(Missing) 75216
60.5%
ValueCountFrequency (%)
1 39436
31.7%
2 4380
 
3.5%
3 2844
 
2.3%
4 882
 
0.7%
5 85
 
0.1%
ValueCountFrequency (%)
8 533
0.4%
7 307
 
0.2%
6 630
0.5%
5 85
 
0.1%
4 882
0.7%

RRCOGNT2
Categorical

MISSING 

Distinct7
Distinct (%)< 0.1%
Missing76004
Missing (%)61.1%
Memory size5.1 MiB
1.0
27077 
3.0
5813 
4.0
4861 
2.0
4253 
5.0
3465 
Other values (2)
2840 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8.0
2nd row3.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 27077
 
21.8%
3.0 5813
 
4.7%
4.0 4861
 
3.9%
2.0 4253
 
3.4%
5.0 3465
 
2.8%
8.0 2667
 
2.1%
6.0 173
 
0.1%
(Missing) 76004
61.1%

Common Values (Plot)

2024-06-08T15:26:05.830297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRHCARE4
Categorical

IMBALANCE  MISSING 

Distinct6
Distinct (%)< 0.1%
Missing78994
Missing (%)63.5%
Memory size5.1 MiB
2.0
35397 
3.0
7307 
1.0
 
1266
9.0
 
997
5.0
 
192

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 35397
28.5%
3.0 7307
 
5.9%
1.0 1266
 
1.0%
9.0 997
 
0.8%
5.0 192
 
0.2%
4.0 160
 
0.1%
(Missing) 78994
63.5%

Common Values (Plot)

2024-06-08T15:26:06.102970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRPHYSM2
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing75295
Missing (%)60.6%
Memory size5.9 MiB
False
47353 
True
 
1665
(Missing)
75295 
ValueCountFrequency (%)
False 47353
38.1%
True 1665
 
1.3%
(Missing) 75295
60.6%
2024-06-08T15:26:06.322522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRTREAT
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing78591
Missing (%)63.2%
Memory size5.1 MiB
2.0
30743 
3.0
10861 
1.0
3374 
4.0
 
523
5.0
 
221

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
2.0 30743
 
24.7%
3.0 10861
 
8.7%
1.0 3374
 
2.7%
4.0 523
 
0.4%
5.0 221
 
0.2%
(Missing) 78591
63.2%

Common Values (Plot)

2024-06-08T15:26:06.533181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SAFETIME
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing17855
Missing (%)14.4%
Memory size5.9 MiB
True
106458 
(Missing)
17855 
ValueCountFrequency (%)
True 106458
85.6%
(Missing) 17855
 
14.4%
2024-06-08T15:26:06.770346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHBILLS
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing45610
Missing (%)36.7%
Memory size5.9 MiB
False
69966 
True
8737 
(Missing)
45610 
ValueCountFrequency (%)
False 69966
56.3%
True 8737
 
7.0%
(Missing) 45610
36.7%
2024-06-08T15:26:06.979734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHEMPLY
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing45483
Missing (%)36.6%
Memory size5.9 MiB
False
69905 
True
8925 
(Missing)
45483 
ValueCountFrequency (%)
False 69905
56.2%
True 8925
 
7.2%
(Missing) 45483
36.6%
2024-06-08T15:26:07.219744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHFOOD1
Categorical

IMBALANCE  MISSING 

Distinct5
Distinct (%)< 0.1%
Missing45530
Missing (%)36.6%
Memory size5.1 MiB
5.0
62621 
4.0
7241 
3.0
 
5847
2.0
 
1583
1.0
 
1491

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row5.0
3rd row3.0
4th row5.0
5th row2.0

Common Values

ValueCountFrequency (%)
5.0 62621
50.4%
4.0 7241
 
5.8%
3.0 5847
 
4.7%
2.0 1583
 
1.3%
1.0 1491
 
1.2%
(Missing) 45530
36.6%

Common Values (Plot)

2024-06-08T15:26:07.504325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHISOLT
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing45451
Missing (%)36.6%
Memory size5.1 MiB
5.0
32797 
4.0
23250 
3.0
16631 
2.0
3966 
1.0
 
2218

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
5.0 32797
26.4%
4.0 23250
18.7%
3.0 16631
 
13.4%
2.0 3966
 
3.2%
1.0 2218
 
1.8%
(Missing) 45451
36.6%

Common Values (Plot)

2024-06-08T15:26:07.838462image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHSTRE1
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing46029
Missing (%)37.0%
Memory size5.1 MiB
5.0
25992 
4.0
21835 
3.0
19310 
2.0
6574 
1.0
4573 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row3.0
3rd row4.0
4th row5.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 25992
20.9%
4.0 21835
17.6%
3.0 19310
15.5%
2.0 6574
 
5.3%
1.0 4573
 
3.7%
(Missing) 46029
37.0%

Common Values (Plot)

2024-06-08T15:26:08.135250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHTRNSP
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing45669
Missing (%)36.7%
Memory size5.9 MiB
False
73464 
True
 
5180
(Missing)
45669 
ValueCountFrequency (%)
False 73464
59.1%
True 5180
 
4.2%
(Missing) 45669
36.7%
2024-06-08T15:26:08.396172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDHUTILS
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)< 0.1%
Missing45617
Missing (%)36.7%
Memory size5.9 MiB
False
72844 
True
 
5852
(Missing)
45617 
ValueCountFrequency (%)
False 72844
58.6%
True 5852
 
4.7%
(Missing) 45617
36.7%
2024-06-08T15:26:08.611798image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SDNATES1
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing121597
Missing (%)97.8%
Memory size5.1 MiB
1.0
1195 
2.0
584 
3.0
360 
5.0
312 
4.0
265 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row5.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1195
 
1.0%
2.0 584
 
0.5%
3.0 360
 
0.3%
5.0 312
 
0.3%
4.0 265
 
0.2%
(Missing) 121597
97.8%

Common Values (Plot)

2024-06-08T15:26:08.863422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SEQNO
Real number (ℝ)

Distinct19302
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2022005826
Minimum2022000001
Maximum2022026152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:09.122893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2022000001
5-th percentile2022000578
Q12022002597
median2022004750
Q32022008015
95-th percentile2022014913
Maximum2022026152
Range26151
Interquartile range (IQR)5418

Descriptive statistics

Standard deviation4510.417429
Coefficient of variation (CV)2.230664903 × 10-6
Kurtosis2.679857361
Mean2022005826
Median Absolute Deviation (MAD)2555
Skewness1.441046004
Sum2.513616103 × 1014
Variance20343865.39
MonotonicityNot monotonic
2024-06-08T15:26:09.425347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022002831 25
 
< 0.1%
2022003157 25
 
< 0.1%
2022004107 24
 
< 0.1%
2022002094 24
 
< 0.1%
2022001353 24
 
< 0.1%
2022004045 24
 
< 0.1%
2022002633 23
 
< 0.1%
2022004161 23
 
< 0.1%
2022003448 23
 
< 0.1%
2022003653 23
 
< 0.1%
Other values (19292) 124075
99.8%
ValueCountFrequency (%)
2022000001 17
< 0.1%
2022000002 18
< 0.1%
2022000003 21
< 0.1%
2022000004 15
< 0.1%
2022000005 16
< 0.1%
ValueCountFrequency (%)
2022026152 1
< 0.1%
2022026150 1
< 0.1%
2022026143 1
< 0.1%
2022026142 1
< 0.1%
2022026137 1
< 0.1%

SEXVAR
Real number (ℝ)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.542252218
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:09.661422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4982135554
Coefficient of variation (CV)0.3230428522
Kurtosis-1.971261579
Mean1.542252218
Median Absolute Deviation (MAD)0
Skewness-0.1696176169
Sum191722
Variance0.2482167468
MonotonicityNot monotonic
2024-06-08T15:26:09.954412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 67409
54.2%
1 56904
45.8%
ValueCountFrequency (%)
1 56904
45.8%
2 67409
54.2%
ValueCountFrequency (%)
2 67409
54.2%
1 56904
45.8%

SHINGLE2
Boolean

MISSING 

Distinct2
Distinct (%)0.1%
Missing120535
Missing (%)97.0%
Memory size5.9 MiB
False
 
2195
True
 
1583
(Missing)
120535 
ValueCountFrequency (%)
False 2195
 
1.8%
True 1583
 
1.3%
(Missing) 120535
97.0%
2024-06-08T15:26:10.324537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SIGMTES1
Categorical

MISSING 

Distinct5
Distinct (%)0.1%
Missing117281
Missing (%)94.3%
Memory size5.1 MiB
5.0
2396 
3.0
1605 
1.0
1138 
4.0
1064 
2.0
829 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row5.0
3rd row2.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
5.0 2396
 
1.9%
3.0 1605
 
1.3%
1.0 1138
 
0.9%
4.0 1064
 
0.9%
2.0 829
 
0.7%
(Missing) 117281
94.3%

Common Values (Plot)

2024-06-08T15:26:10.639113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SLEPTIM1
Real number (ℝ)

Distinct24
Distinct (%)< 0.1%
Missing1050
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean6.924997769
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:11.078663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q16
median7
Q38
95-th percentile9
Maximum24
Range23
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.434794798
Coefficient of variation (CV)0.2071906513
Kurtosis8.150667646
Mean6.924997769
Median Absolute Deviation (MAD)1
Skewness0.6672098668
Sum853596
Variance2.058636111
MonotonicityNot monotonic
2024-06-08T15:26:11.433281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7 38720
31.1%
8 32205
25.9%
6 29218
23.5%
5 9343
 
7.5%
9 5175
 
4.2%
4 3630
 
2.9%
10 2332
 
1.9%
3 852
 
0.7%
12 658
 
0.5%
2 376
 
0.3%
Other values (14) 754
 
0.6%
(Missing) 1050
 
0.8%
ValueCountFrequency (%)
1 270
 
0.2%
2 376
 
0.3%
3 852
 
0.7%
4 3630
 
2.9%
5 9343
7.5%
ValueCountFrequency (%)
24 7
 
< 0.1%
23 5
 
< 0.1%
22 6
 
< 0.1%
21 2
 
< 0.1%
20 33
< 0.1%

SMALSTOL
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing108934
Missing (%)87.6%
Memory size5.9 MiB
True
12289 
False
 
3090
(Missing)
108934 
ValueCountFrequency (%)
True 12289
 
9.9%
False 3090
 
2.5%
(Missing) 108934
87.6%
2024-06-08T15:26:11.918811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKDAY2
Categorical

MISSING 

Distinct3
Distinct (%)< 0.1%
Missing78366
Missing (%)63.0%
Memory size5.1 MiB
3.0
33808 
1.0
8376 
2.0
3763 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 33808
27.2%
1.0 8376
 
6.7%
2.0 3763
 
3.0%
(Missing) 78366
63.0%

Common Values (Plot)

2024-06-08T15:26:12.240671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SMOKE100
Boolean

Distinct2
Distinct (%)< 0.1%
Missing750
Missing (%)0.6%
Memory size5.9 MiB
False
77542 
True
46021 
(Missing)
 
750
ValueCountFrequency (%)
False 77542
62.4%
True 46021
37.0%
(Missing) 750
 
0.6%
2024-06-08T15:26:12.595134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing85071
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean2.077111258
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:12.974247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3809464383
Coefficient of variation (CV)0.1834020382
Kurtosis13.06046283
Mean2.077111258
Median Absolute Deviation (MAD)0
Skewness2.978282033
Sum81510
Variance0.1451201889
MonotonicityNot monotonic
2024-06-08T15:26:13.331591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 35699
28.7%
3 2092
 
1.7%
4 795
 
0.6%
1 656
 
0.5%
(Missing) 85071
68.4%
ValueCountFrequency (%)
1 656
 
0.5%
2 35699
28.7%
3 2092
 
1.7%
4 795
 
0.6%
ValueCountFrequency (%)
4 795
 
0.6%
3 2092
 
1.7%
2 35699
28.7%
1 656
 
0.5%

SOMALE
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing90701
Missing (%)73.0%
Infinite0
Infinite (%)0.0%
Mean2.026210877
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:13.693263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3246219891
Coefficient of variation (CV)0.1602113545
Kurtosis20.60478856
Mean2.026210877
Median Absolute Deviation (MAD)0
Skewness2.965858044
Sum68105
Variance0.1053794358
MonotonicityNot monotonic
2024-06-08T15:26:13.988379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 31451
 
25.3%
1 874
 
0.7%
3 819
 
0.7%
4 468
 
0.4%
(Missing) 90701
73.0%
ValueCountFrequency (%)
1 874
 
0.7%
2 31451
25.3%
3 819
 
0.7%
4 468
 
0.4%
ValueCountFrequency (%)
4 468
 
0.4%
3 819
 
0.7%
2 31451
25.3%
1 874
 
0.7%

STATE
Real number (ℝ)

Distinct54
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.03326281
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:14.431768image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q118
median30
Q346
95-th percentile55
Maximum78
Range77
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.75814554
Coefficient of variation (CV)0.5400059169
Kurtosis-0.6990109758
Mean31.03326281
Median Absolute Deviation (MAD)14
Skewness0.1565511085
Sum3857838
Variance280.8354419
MonotonicityIncreasing
2024-06-08T15:26:15.067107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 6233
 
5.0%
36 5141
 
4.1%
27 4858
 
3.9%
39 4738
 
3.8%
24 3975
 
3.2%
48 3953
 
3.2%
12 3486
 
2.8%
25 3330
 
2.7%
20 3238
 
2.6%
49 3170
 
2.6%
Other values (44) 82191
66.1%
ValueCountFrequency (%)
1 1440
1.2%
2 1783
1.4%
4 2771
2.2%
5 1393
1.1%
6 3168
2.5%
ValueCountFrequency (%)
78 390
 
0.3%
72 2079
1.7%
66 551
 
0.4%
56 1210
 
1.0%
55 3158
2.5%

STATERE1
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)< 0.1%
Missing106458
Missing (%)85.6%
Memory size5.9 MiB
True
17855 
(Missing)
106458 
ValueCountFrequency (%)
True 17855
 
14.4%
(Missing) 106458
85.6%
2024-06-08T15:26:15.686365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOLTEST
Categorical

MISSING 

Distinct5
Distinct (%)< 0.1%
Missing112348
Missing (%)90.4%
Memory size5.1 MiB
1.0
4735 
5.0
2385 
2.0
2181 
3.0
1374 
4.0
1290 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row5.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 4735
 
3.8%
5.0 2385
 
1.9%
2.0 2181
 
1.8%
3.0 1374
 
1.1%
4.0 1290
 
1.0%
(Missing) 112348
90.4%

Common Values (Plot)

2024-06-08T15:26:16.147220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOOLDN2
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109171
Missing (%)87.8%
Memory size5.9 MiB
False
12288 
True
 
2854
(Missing)
109171 
ValueCountFrequency (%)
False 12288
 
9.9%
True 2854
 
2.3%
(Missing) 109171
87.8%
2024-06-08T15:26:16.649202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STOPSMK2
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing119674
Missing (%)96.3%
Memory size5.9 MiB
True
 
2490
False
 
2149
(Missing)
119674 
ValueCountFrequency (%)
True 2490
 
2.0%
False 2149
 
1.7%
(Missing) 119674
96.3%
2024-06-08T15:26:17.099198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TETANUS1
Categorical

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing11453
Missing (%)9.2%
Memory size5.1 MiB
3.0
35378 
1.0
34919 
4.0
34182 
2.0
8381 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4.0
2nd row3.0
3rd row3.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
3.0 35378
28.5%
1.0 34919
28.1%
4.0 34182
27.5%
2.0 8381
 
6.7%
(Missing) 11453
 
9.2%

Common Values (Plot)

2024-06-08T15:26:17.546453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TOLDCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124313
Missing (%)100.0%
Memory size5.9 MiB

TRNSGNDR
Real number (ℝ)

MISSING 

Distinct4
Distinct (%)< 0.1%
Missing50439
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean3.988047216
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:17.971012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1626555683
Coefficient of variation (CV)0.04078576796
Kurtosis246.5727115
Mean3.988047216
Median Absolute Deviation (MAD)0
Skewness-15.22145077
Sum294613
Variance0.02645683391
MonotonicityNot monotonic
2024-06-08T15:26:18.410334image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 73402
59.0%
3 191
 
0.2%
2 151
 
0.1%
1 130
 
0.1%
(Missing) 50439
40.6%
ValueCountFrequency (%)
1 130
 
0.1%
2 151
 
0.1%
3 191
 
0.2%
4 73402
59.0%
ValueCountFrequency (%)
4 73402
59.0%
3 191
 
0.2%
2 151
 
0.1%
1 130
 
0.1%

TYPCNTR9
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)0.2%
Missing119228
Missing (%)95.9%
Infinite0
Infinite (%)0.0%
Mean4.92605703
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:18.800763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q37
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.846941208
Coefficient of variation (CV)0.5779350889
Kurtosis-0.373569922
Mean4.92605703
Median Absolute Deviation (MAD)2
Skewness0.4329217862
Sum25049
Variance8.105074241
MonotonicityNot monotonic
2024-06-08T15:26:19.009702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 1057
 
0.9%
4 943
 
0.8%
7 837
 
0.7%
1 722
 
0.6%
2 689
 
0.6%
10 333
 
0.3%
3 169
 
0.1%
12 147
 
0.1%
5 86
 
0.1%
9 75
 
0.1%
Other values (2) 27
 
< 0.1%
(Missing) 119228
95.9%
ValueCountFrequency (%)
1 722
0.6%
2 689
0.6%
3 169
 
0.1%
4 943
0.8%
5 86
 
0.1%
ValueCountFrequency (%)
12 147
0.1%
11 18
 
< 0.1%
10 333
0.3%
9 75
 
0.1%
8 9
 
< 0.1%

USEMRJN4
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.4%
Missing122603
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean1.844444444
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:19.234053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.238787564
Coefficient of variation (CV)0.671631812
Kurtosis4.389774061
Mean1.844444444
Median Absolute Deviation (MAD)0
Skewness1.850290846
Sum3154
Variance1.53459463
MonotonicityNot monotonic
2024-06-08T15:26:19.476183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 985
 
0.8%
3 294
 
0.2%
2 274
 
0.2%
4 108
 
0.1%
7 27
 
< 0.1%
5 20
 
< 0.1%
9 2
 
< 0.1%
(Missing) 122603
98.6%
ValueCountFrequency (%)
1 985
0.8%
2 274
 
0.2%
3 294
 
0.2%
4 108
 
0.1%
5 20
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
7 27
 
< 0.1%
5 20
 
< 0.1%
4 108
 
0.1%
3 294
0.2%

USENOW3
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing206
Missing (%)0.2%
Memory size5.1 MiB
3.0
119919 
1.0
 
2451
2.0
 
1737

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row2.0
3rd row3.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
3.0 119919
96.5%
1.0 2451
 
2.0%
2.0 1737
 
1.4%
(Missing) 206
 
0.2%

Common Values (Plot)

2024-06-08T15:26:19.782833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VCLNTES2
Categorical

MISSING 

Distinct5
Distinct (%)0.2%
Missing122250
Missing (%)98.3%
Memory size5.1 MiB
3.0
603 
1.0
531 
4.0
338 
2.0
325 
5.0
266 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.0
2nd row1.0
3rd row5.0
4th row5.0
5th row4.0

Common Values

ValueCountFrequency (%)
3.0 603
 
0.5%
1.0 531
 
0.4%
4.0 338
 
0.3%
2.0 325
 
0.3%
5.0 266
 
0.2%
(Missing) 122250
98.3%

Common Values (Plot)

2024-06-08T15:26:20.053330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VETERAN3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing201
Missing (%)0.2%
Memory size5.9 MiB
False
110836 
True
13276 
(Missing)
 
201
ValueCountFrequency (%)
False 110836
89.2%
True 13276
 
10.7%
(Missing) 201
 
0.2%
2024-06-08T15:26:20.321690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

VIRCOLO1
Boolean

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing109440
Missing (%)88.0%
Memory size5.9 MiB
False
12689 
True
 
2184
(Missing)
109440 
ValueCountFrequency (%)
False 12689
 
10.2%
True 2184
 
1.8%
(Missing) 109440
88.0%
2024-06-08T15:26:20.547816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)0.2%
Missing120017
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean3.220204842
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:20.734014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q35
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.80991452
Coefficient of variation (CV)0.8725887507
Kurtosis-0.5913126779
Mean3.220204842
Median Absolute Deviation (MAD)0
Skewness0.8706802815
Sum13834
Variance7.895619609
MonotonicityNot monotonic
2024-06-08T15:26:20.935141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 2288
 
1.8%
5 664
 
0.5%
7 654
 
0.5%
2 222
 
0.2%
3 171
 
0.1%
10 170
 
0.1%
9 59
 
< 0.1%
8 44
 
< 0.1%
4 18
 
< 0.1%
6 6
 
< 0.1%
(Missing) 120017
96.5%
ValueCountFrequency (%)
1 2288
1.8%
2 222
 
0.2%
3 171
 
0.1%
4 18
 
< 0.1%
5 664
 
0.5%
ValueCountFrequency (%)
10 170
 
0.1%
9 59
 
< 0.1%
8 44
 
< 0.1%
7 654
0.5%
6 6
 
< 0.1%

WORKCFS
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing124313
Missing (%)100.0%
Memory size5.9 MiB

WTKG3
Real number (ℝ)

MISSING 

Distinct496
Distinct (%)0.4%
Missing5990
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean8517.248836
Minimum2268
Maximum28168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:21.180348image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2268
5-th percentile5488
Q16895
median8165
Q39752
95-th percentile12519
Maximum28168
Range25900
Interquartile range (IQR)2857

Descriptive statistics

Standard deviation2202.24527
Coefficient of variation (CV)0.2585629835
Kurtosis2.439999062
Mean8517.248836
Median Absolute Deviation (MAD)1361
Skewness1.038502409
Sum1007786434
Variance4849884.23
MonotonicityNot monotonic
2024-06-08T15:26:21.482042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9072 6363
 
5.1%
8165 5718
 
4.6%
7257 4749
 
3.8%
6804 4651
 
3.7%
7711 4524
 
3.6%
8618 4328
 
3.5%
9979 3503
 
2.8%
6350 3475
 
2.8%
7938 3390
 
2.7%
8391 3043
 
2.4%
Other values (486) 74579
60.0%
(Missing) 5990
 
4.8%
ValueCountFrequency (%)
2268 1
< 0.1%
2359 1
< 0.1%
2404 1
< 0.1%
2449 1
< 0.1%
2495 2
< 0.1%
ValueCountFrequency (%)
28168 1
< 0.1%
28000 1
< 0.1%
27624 1
< 0.1%
27442 1
< 0.1%
27352 1
< 0.1%

_AGE65YR
Categorical

MISSING 

Distinct2
Distinct (%)< 0.1%
Missing1688
Missing (%)1.4%
Memory size5.1 MiB
1
91257 
2
31368 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 91257
73.4%
2 31368
 
25.2%
(Missing) 1688
 
1.4%

Common Values (Plot)

2024-06-08T15:26:21.746261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

_AGE80
Real number (ℝ)

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.52231866
Minimum18
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:21.982657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile22
Q136
median51
Q365
95-th percentile79
Maximum80
Range62
Interquartile range (IQR)29

Descriptive statistics

Standard deviation17.29364708
Coefficient of variation (CV)0.3422971774
Kurtosis-1.060991555
Mean50.52231866
Median Absolute Deviation (MAD)14
Skewness-0.06180806463
Sum6280581
Variance299.0702292
MonotonicityNot monotonic
2024-06-08T15:26:22.262101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 5452
 
4.4%
52 2628
 
2.1%
60 2480
 
2.0%
65 2446
 
2.0%
53 2420
 
1.9%
62 2408
 
1.9%
40 2365
 
1.9%
50 2347
 
1.9%
55 2324
 
1.9%
42 2320
 
1.9%
Other values (53) 97123
78.1%
ValueCountFrequency (%)
18 1130
0.9%
19 1205
1.0%
20 1366
1.1%
21 1408
1.1%
22 1488
1.2%
ValueCountFrequency (%)
80 5452
4.4%
79 1022
 
0.8%
78 1083
 
0.9%
77 1067
 
0.9%
76 1188
 
1.0%

_AGEG5YR
Categorical

MISSING 

Distinct13
Distinct (%)< 0.1%
Missing1688
Missing (%)1.4%
Memory size5.1 MiB
9
11705 
10
11002 
7
10906 
8
10834 
5
10565 
Other values (8)
67613 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row13
3rd row10
4th row11
5th row9

Common Values

ValueCountFrequency (%)
9 11705
9.4%
10 11002
8.9%
7 10906
8.8%
8 10834
8.7%
5 10565
8.5%
4 10189
8.2%
6 9775
7.9%
1 9754
7.8%
3 9311
7.5%
11 8869
7.1%
Other values (3) 19715
15.9%

_AGE_G
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.006435369
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 MiB
2024-06-08T15:26:22.525752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.624820483
Coefficient of variation (CV)0.4055526506
Kurtosis-1.124963404
Mean4.006435369
Median Absolute Deviation (MAD)1
Skewness-0.2908263813
Sum498052
Variance2.640041603
MonotonicityNot monotonic
2024-06-08T15:26:22.733148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 31636
25.4%
5 22784
18.3%
4 21687
17.4%
3 20911
16.8%
2 17540
14.1%
1 9755
 
7.8%
ValueCountFrequency (%)
1 9755
7.8%
2 17540
14.1%
3 20911
16.8%
4 21687
17.4%
5 22784
18.3%
ValueCountFrequency (%)
6 31636
25.4%
5 22784
18.3%
4 21687
17.4%
3 20911
16.8%
2 17540
14.1%

STATE_1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122873 
True
 
1440
ValueCountFrequency (%)
False 122873
98.8%
True 1440
 
1.2%
2024-06-08T15:26:22.973294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122530 
True
 
1783
ValueCountFrequency (%)
False 122530
98.6%
True 1783
 
1.4%
2024-06-08T15:26:23.192036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121542 
True
 
2771
ValueCountFrequency (%)
False 121542
97.8%
True 2771
 
2.2%
2024-06-08T15:26:23.396000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_5
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122920 
True
 
1393
ValueCountFrequency (%)
False 122920
98.9%
True 1393
 
1.1%
2024-06-08T15:26:23.611632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_6
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121145 
True
 
3168
ValueCountFrequency (%)
False 121145
97.5%
True 3168
 
2.5%
2024-06-08T15:26:23.811571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_8
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121662 
True
 
2651
ValueCountFrequency (%)
False 121662
97.9%
True 2651
 
2.1%
2024-06-08T15:26:24.041358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_9
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121376 
True
 
2937
ValueCountFrequency (%)
False 121376
97.6%
True 2937
 
2.4%
2024-06-08T15:26:24.250068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_10
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123227 
True
 
1086
ValueCountFrequency (%)
False 123227
99.1%
True 1086
 
0.9%
2024-06-08T15:26:24.460539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_11
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123630 
True
 
683
ValueCountFrequency (%)
False 123630
99.5%
True 683
 
0.5%
2024-06-08T15:26:24.685698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_12
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120827 
True
 
3486
ValueCountFrequency (%)
False 120827
97.2%
True 3486
 
2.8%
2024-06-08T15:26:24.897291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_13
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121771 
True
 
2542
ValueCountFrequency (%)
False 121771
98.0%
True 2542
 
2.0%
2024-06-08T15:26:25.108713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_15
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122449 
True
 
1864
ValueCountFrequency (%)
False 122449
98.5%
True 1864
 
1.5%
2024-06-08T15:26:25.320460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_16
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122406 
True
 
1907
ValueCountFrequency (%)
False 122406
98.5%
True 1907
 
1.5%
2024-06-08T15:26:25.559292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_17
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123086 
True
 
1227
ValueCountFrequency (%)
False 123086
99.0%
True 1227
 
1.0%
2024-06-08T15:26:25.769000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_18
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121552 
True
 
2761
ValueCountFrequency (%)
False 121552
97.8%
True 2761
 
2.2%
2024-06-08T15:26:25.981063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_19
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121715 
True
 
2598
ValueCountFrequency (%)
False 121715
97.9%
True 2598
 
2.1%
2024-06-08T15:26:26.189308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_20
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121075 
True
 
3238
ValueCountFrequency (%)
False 121075
97.4%
True 3238
 
2.6%
2024-06-08T15:26:26.392693image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_21
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123019 
True
 
1294
ValueCountFrequency (%)
False 123019
99.0%
True 1294
 
1.0%
2024-06-08T15:26:26.622312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_22
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122487 
True
 
1826
ValueCountFrequency (%)
False 122487
98.5%
True 1826
 
1.5%
2024-06-08T15:26:26.826131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_23
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121868 
True
 
2445
ValueCountFrequency (%)
False 121868
98.0%
True 2445
 
2.0%
2024-06-08T15:26:27.042075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_24
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120338 
True
 
3975
ValueCountFrequency (%)
False 120338
96.8%
True 3975
 
3.2%
2024-06-08T15:26:27.277853image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_25
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120983 
True
 
3330
ValueCountFrequency (%)
False 120983
97.3%
True 3330
 
2.7%
2024-06-08T15:26:27.523398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_26
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121859 
True
 
2454
ValueCountFrequency (%)
False 121859
98.0%
True 2454
 
2.0%
2024-06-08T15:26:27.796614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_27
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119455 
True
 
4858
ValueCountFrequency (%)
False 119455
96.1%
True 4858
 
3.9%
2024-06-08T15:26:28.026573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_28
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122704 
True
 
1609
ValueCountFrequency (%)
False 122704
98.7%
True 1609
 
1.3%
2024-06-08T15:26:28.260960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_29
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122027 
True
 
2286
ValueCountFrequency (%)
False 122027
98.2%
True 2286
 
1.8%
2024-06-08T15:26:28.494421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_30
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122132 
True
 
2181
ValueCountFrequency (%)
False 122132
98.2%
True 2181
 
1.8%
2024-06-08T15:26:28.742670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_31
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122243 
True
 
2070
ValueCountFrequency (%)
False 122243
98.3%
True 2070
 
1.7%
2024-06-08T15:26:29.105235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_32
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123387 
True
 
926
ValueCountFrequency (%)
False 123387
99.3%
True 926
 
0.7%
2024-06-08T15:26:29.506615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_33
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122935 
True
 
1378
ValueCountFrequency (%)
False 122935
98.9%
True 1378
 
1.1%
2024-06-08T15:26:29.912266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_34
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122072 
True
 
2241
ValueCountFrequency (%)
False 122072
98.2%
True 2241
 
1.8%
2024-06-08T15:26:30.207918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_35
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123025 
True
 
1288
ValueCountFrequency (%)
False 123025
99.0%
True 1288
 
1.0%
2024-06-08T15:26:30.613384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_36
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119172 
True
 
5141
ValueCountFrequency (%)
False 119172
95.9%
True 5141
 
4.1%
2024-06-08T15:26:31.011187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_37
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122967 
True
 
1346
ValueCountFrequency (%)
False 122967
98.9%
True 1346
 
1.1%
2024-06-08T15:26:31.315739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_38
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122913 
True
 
1400
ValueCountFrequency (%)
False 122913
98.9%
True 1400
 
1.1%
2024-06-08T15:26:31.696078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_39
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119575 
True
 
4738
ValueCountFrequency (%)
False 119575
96.2%
True 4738
 
3.8%
2024-06-08T15:26:32.108748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_40
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122409 
True
 
1904
ValueCountFrequency (%)
False 122409
98.5%
True 1904
 
1.5%
2024-06-08T15:26:32.552971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_41
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122968 
True
 
1345
ValueCountFrequency (%)
False 122968
98.9%
True 1345
 
1.1%
2024-06-08T15:26:33.010654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_42
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122841 
True
 
1472
ValueCountFrequency (%)
False 122841
98.8%
True 1472
 
1.2%
2024-06-08T15:26:33.450068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_44
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122737 
True
 
1576
ValueCountFrequency (%)
False 122737
98.7%
True 1576
 
1.3%
2024-06-08T15:26:33.898880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_45
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121724 
True
 
2589
ValueCountFrequency (%)
False 121724
97.9%
True 2589
 
2.1%
2024-06-08T15:26:34.363519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_46
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121788 
True
 
2525
ValueCountFrequency (%)
False 121788
98.0%
True 2525
 
2.0%
2024-06-08T15:26:34.826044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_47
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122621 
True
 
1692
ValueCountFrequency (%)
False 122621
98.6%
True 1692
 
1.4%
2024-06-08T15:26:35.273341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_48
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120360 
True
 
3953
ValueCountFrequency (%)
False 120360
96.8%
True 3953
 
3.2%
2024-06-08T15:26:35.723819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_49
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121143 
True
 
3170
ValueCountFrequency (%)
False 121143
97.4%
True 3170
 
2.6%
2024-06-08T15:26:36.169277image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_50
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122356 
True
 
1957
ValueCountFrequency (%)
False 122356
98.4%
True 1957
 
1.6%
2024-06-08T15:26:36.671526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_51
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121761 
True
 
2552
ValueCountFrequency (%)
False 121761
97.9%
True 2552
 
2.1%
2024-06-08T15:26:38.380212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_53
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
118080 
True
 
6233
ValueCountFrequency (%)
False 118080
95.0%
True 6233
 
5.0%
2024-06-08T15:26:38.583241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_54
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122677 
True
 
1636
ValueCountFrequency (%)
False 122677
98.7%
True 1636
 
1.3%
2024-06-08T15:26:38.789132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_55
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121155 
True
 
3158
ValueCountFrequency (%)
False 121155
97.5%
True 3158
 
2.5%
2024-06-08T15:26:39.004159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_56
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123103 
True
 
1210
ValueCountFrequency (%)
False 123103
99.0%
True 1210
 
1.0%
2024-06-08T15:26:39.221854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_66
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123762 
True
 
551
ValueCountFrequency (%)
False 123762
99.6%
True 551
 
0.4%
2024-06-08T15:26:39.429509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_72
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122234 
True
 
2079
ValueCountFrequency (%)
False 122234
98.3%
True 2079
 
1.7%
2024-06-08T15:26:39.650335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

STATE_78
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123923 
True
 
390
ValueCountFrequency (%)
False 123923
99.7%
True 390
 
0.3%
2024-06-08T15:26:39.854535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116531 
True
 
7782
ValueCountFrequency (%)
False 116531
93.7%
True 7782
 
6.3%
2024-06-08T15:26:40.068479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
117278 
True
 
7035
ValueCountFrequency (%)
False 117278
94.3%
True 7035
 
5.7%
2024-06-08T15:26:40.363016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116297 
True
 
8016
ValueCountFrequency (%)
False 116297
93.6%
True 8016
 
6.4%
2024-06-08T15:26:40.888235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116775 
True
 
7538
ValueCountFrequency (%)
False 116775
93.9%
True 7538
 
6.1%
2024-06-08T15:26:41.104925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_5
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116227 
True
 
8086
ValueCountFrequency (%)
False 116227
93.5%
True 8086
 
6.5%
2024-06-08T15:26:41.349692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_6
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
114729 
True
 
9584
ValueCountFrequency (%)
False 114729
92.3%
True 9584
 
7.7%
2024-06-08T15:26:41.552417image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_7
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113761 
True
 
10552
ValueCountFrequency (%)
False 113761
91.5%
True 10552
 
8.5%
2024-06-08T15:26:41.767840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_8
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
112401 
True
11912 
ValueCountFrequency (%)
False 112401
90.4%
True 11912
 
9.6%
2024-06-08T15:26:41.982710image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_9
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
111814 
True
12499 
ValueCountFrequency (%)
False 111814
89.9%
True 12499
 
10.1%
2024-06-08T15:26:42.195442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_10
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
111704 
True
12609 
ValueCountFrequency (%)
False 111704
89.9%
True 12609
 
10.1%
2024-06-08T15:26:42.419403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_11
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
108060 
True
16253 
ValueCountFrequency (%)
False 108060
86.9%
True 16253
 
13.1%
2024-06-08T15:26:42.632469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

FMONTH_12
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
111866 
True
12447 
ValueCountFrequency (%)
False 111866
90.0%
True 12447
 
10.0%
2024-06-08T15:26:42.844107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113583 
True
 
10730
ValueCountFrequency (%)
False 113583
91.4%
True 10730
 
8.6%
2024-06-08T15:26:43.075224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116581 
True
 
7732
ValueCountFrequency (%)
False 116581
93.8%
True 7732
 
6.2%
2024-06-08T15:26:43.308558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116531 
True
 
7782
ValueCountFrequency (%)
False 116531
93.7%
True 7782
 
6.3%
2024-06-08T15:26:43.531046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
117101 
True
 
7212
ValueCountFrequency (%)
False 117101
94.2%
True 7212
 
5.8%
2024-06-08T15:26:43.733895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_5
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
115148 
True
 
9165
ValueCountFrequency (%)
False 115148
92.6%
True 9165
 
7.4%
2024-06-08T15:26:43.940854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_6
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
114837 
True
 
9476
ValueCountFrequency (%)
False 114837
92.4%
True 9476
 
7.6%
2024-06-08T15:26:44.152497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_7
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
114647 
True
 
9666
ValueCountFrequency (%)
False 114647
92.2%
True 9666
 
7.8%
2024-06-08T15:26:44.364927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_8
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
112038 
True
12275 
ValueCountFrequency (%)
False 112038
90.1%
True 12275
 
9.9%
2024-06-08T15:26:44.588230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_9
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113118 
True
 
11195
ValueCountFrequency (%)
False 113118
91.0%
True 11195
 
9.0%
2024-06-08T15:26:44.826845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_10
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
112676 
True
11637 
ValueCountFrequency (%)
False 112676
90.6%
True 11637
 
9.4%
2024-06-08T15:26:45.055345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_11
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
111811 
True
12502 
ValueCountFrequency (%)
False 111811
89.9%
True 12502
 
10.1%
2024-06-08T15:26:45.290067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMONTH_12
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
109372 
True
14941 
ValueCountFrequency (%)
False 109372
88.0%
True 14941
 
12.0%
2024-06-08T15:26:45.527452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SEXVAR_1
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
67409 
True
56904 
ValueCountFrequency (%)
False 67409
54.2%
True 56904
45.8%
2024-06-08T15:26:45.748435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SEXVAR_2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
67409 
False
56904 
ValueCountFrequency (%)
True 67409
54.2%
False 56904
45.8%
2024-06-08T15:26:45.994660image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_10
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113001 
True
11312 
ValueCountFrequency (%)
False 113001
90.9%
True 11312
 
9.1%
2024-06-08T15:26:46.238847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_11
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121379 
True
 
2934
ValueCountFrequency (%)
False 121379
97.6%
True 2934
 
2.4%
2024-06-08T15:26:46.511525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_12
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121585 
True
 
2728
ValueCountFrequency (%)
False 121585
97.8%
True 2728
 
2.2%
2024-06-08T15:26:46.763147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_13
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123432 
True
 
881
ValueCountFrequency (%)
False 123432
99.3%
True 881
 
0.7%
2024-06-08T15:26:47.010624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_20
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
66428 
False
57885 
ValueCountFrequency (%)
True 66428
53.4%
False 57885
46.6%
2024-06-08T15:26:47.234577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_21
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
105856 
True
18457 
ValueCountFrequency (%)
False 105856
85.2%
True 18457
 
14.8%
2024-06-08T15:26:47.452037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_22
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
107303 
True
17010 
ValueCountFrequency (%)
False 107303
86.3%
True 17010
 
13.7%
2024-06-08T15:26:47.678101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTVER_23
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119750 
True
 
4563
ValueCountFrequency (%)
False 119750
96.3%
True 4563
 
3.7%
2024-06-08T15:26:47.933766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTLANG_1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
119074 
False
 
5239
ValueCountFrequency (%)
True 119074
95.8%
False 5239
 
4.2%
2024-06-08T15:26:48.243431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

QSTLANG_2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119074 
True
 
5239
ValueCountFrequency (%)
False 119074
95.8%
True 5239
 
4.2%
2024-06-08T15:26:48.574800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MSCODE_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119297 
True
 
5016
ValueCountFrequency (%)
False 119297
96.0%
True 5016
 
4.0%
2024-06-08T15:26:48.891671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MSCODE_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121408 
True
 
2905
ValueCountFrequency (%)
False 121408
97.7%
True 2905
 
2.3%
2024-06-08T15:26:49.317938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MSCODE_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121291 
True
 
3022
ValueCountFrequency (%)
False 121291
97.6%
True 3022
 
2.4%
2024-06-08T15:26:49.717918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MSCODE_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
117857 
True
 
6456
ValueCountFrequency (%)
False 117857
94.8%
True 6456
 
5.2%
2024-06-08T15:26:50.107035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_1
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120771 
True
 
3542
ValueCountFrequency (%)
False 120771
97.2%
True 3542
 
2.8%
2024-06-08T15:26:50.440851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_2
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120411 
True
 
3902
ValueCountFrequency (%)
False 120411
96.9%
True 3902
 
3.1%
2024-06-08T15:26:50.839986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_3
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120355 
True
 
3958
ValueCountFrequency (%)
False 120355
96.8%
True 3958
 
3.2%
2024-06-08T15:26:51.261052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_4
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120579 
True
 
3734
ValueCountFrequency (%)
False 120579
97.0%
True 3734
 
3.0%
2024-06-08T15:26:51.653624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_5
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120285 
True
 
4028
ValueCountFrequency (%)
False 120285
96.8%
True 4028
 
3.2%
2024-06-08T15:26:51.955468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_6
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120317 
True
 
3996
ValueCountFrequency (%)
False 120317
96.8%
True 3996
 
3.2%
2024-06-08T15:26:52.336544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_7
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120143 
True
 
4170
ValueCountFrequency (%)
False 120143
96.6%
True 4170
 
3.4%
2024-06-08T15:26:52.658221image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_8
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120092 
True
 
4221
ValueCountFrequency (%)
False 120092
96.6%
True 4221
 
3.4%
2024-06-08T15:26:53.091811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_9
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119757 
True
 
4556
ValueCountFrequency (%)
False 119757
96.3%
True 4556
 
3.7%
2024-06-08T15:26:53.429968image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_10
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119986 
True
 
4327
ValueCountFrequency (%)
False 119986
96.5%
True 4327
 
3.5%
2024-06-08T15:26:53.834992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_11
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119968 
True
 
4345
ValueCountFrequency (%)
False 119968
96.5%
True 4345
 
3.5%
2024-06-08T15:26:54.191616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_12
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119897 
True
 
4416
ValueCountFrequency (%)
False 119897
96.4%
True 4416
 
3.6%
2024-06-08T15:26:54.589173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_13
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119968 
True
 
4345
ValueCountFrequency (%)
False 119968
96.5%
True 4345
 
3.5%
2024-06-08T15:26:55.040487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_14
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119922 
True
 
4391
ValueCountFrequency (%)
False 119922
96.5%
True 4391
 
3.5%
2024-06-08T15:26:55.475961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_15
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119982 
True
 
4331
ValueCountFrequency (%)
False 119982
96.5%
True 4331
 
3.5%
2024-06-08T15:26:55.930822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_16
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119960 
True
 
4353
ValueCountFrequency (%)
False 119960
96.5%
True 4353
 
3.5%
2024-06-08T15:26:56.357052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_17
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120305 
True
 
4008
ValueCountFrequency (%)
False 120305
96.8%
True 4008
 
3.2%
2024-06-08T15:26:56.785456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_18
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120140 
True
 
4173
ValueCountFrequency (%)
False 120140
96.6%
True 4173
 
3.4%
2024-06-08T15:26:57.178337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_19
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119929 
True
 
4384
ValueCountFrequency (%)
False 119929
96.5%
True 4384
 
3.5%
2024-06-08T15:26:57.394115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_20
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119989 
True
 
4324
ValueCountFrequency (%)
False 119989
96.5%
True 4324
 
3.5%
2024-06-08T15:26:57.631571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_21
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119650 
True
 
4663
ValueCountFrequency (%)
False 119650
96.2%
True 4663
 
3.8%
2024-06-08T15:26:57.879713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_22
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119817 
True
 
4496
ValueCountFrequency (%)
False 119817
96.4%
True 4496
 
3.6%
2024-06-08T15:26:58.158499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_23
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120260 
True
 
4053
ValueCountFrequency (%)
False 120260
96.7%
True 4053
 
3.3%
2024-06-08T15:26:58.391330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_24
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120991 
True
 
3322
ValueCountFrequency (%)
False 120991
97.3%
True 3322
 
2.7%
2024-06-08T15:26:58.625534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_25
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120871 
True
 
3442
ValueCountFrequency (%)
False 120871
97.2%
True 3442
 
2.8%
2024-06-08T15:26:58.855686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_26
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120329 
True
 
3984
ValueCountFrequency (%)
False 120329
96.8%
True 3984
 
3.2%
2024-06-08T15:26:59.116766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_27
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120464 
True
 
3849
ValueCountFrequency (%)
False 120464
96.9%
True 3849
 
3.1%
2024-06-08T15:26:59.356599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_28
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120150 
True
 
4163
ValueCountFrequency (%)
False 120150
96.7%
True 4163
 
3.3%
2024-06-08T15:26:59.581511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_29
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120514 
True
 
3799
ValueCountFrequency (%)
False 120514
96.9%
True 3799
 
3.1%
2024-06-08T15:26:59.797343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_30
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121091 
True
 
3222
ValueCountFrequency (%)
False 121091
97.4%
True 3222
 
2.6%
2024-06-08T15:27:00.015812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IDAY_31
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122497 
True
 
1816
ValueCountFrequency (%)
False 122497
98.5%
True 1816
 
1.5%
2024-06-08T15:27:00.252873image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122318 
True
 
1995
ValueCountFrequency (%)
False 122318
98.4%
True 1995
 
1.6%
2024-06-08T15:27:00.462507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119767 
True
 
4546
ValueCountFrequency (%)
False 119767
96.3%
True 4546
 
3.7%
2024-06-08T15:27:00.668830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

LANDSEX1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124312 
True
 
1
ValueCountFrequency (%)
False 124312
> 99.9%
True 1
 
< 0.1%
2024-06-08T15:27:00.890315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
74074 
True
50239 
ValueCountFrequency (%)
False 74074
59.6%
True 50239
40.4%
2024-06-08T15:27:01.097955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
68232 
True
56081 
ValueCountFrequency (%)
False 68232
54.9%
True 56081
45.1%
2024-06-08T15:27:01.341524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CELLSEX1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124224 
True
 
89
ValueCountFrequency (%)
False 124224
99.9%
True 89
 
0.1%
2024-06-08T15:27:01.559174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
84637 
False
39676 
ValueCountFrequency (%)
True 84637
68.1%
False 39676
31.9%
2024-06-08T15:27:01.769271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
91822 
True
32491 
ValueCountFrequency (%)
False 91822
73.9%
True 32491
 
26.1%
2024-06-08T15:27:01.989581image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RENTHOM1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
118038 
True
 
6275
ValueCountFrequency (%)
False 118038
95.0%
True 6275
 
5.0%
2024-06-08T15:27:02.232395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
77492 
True
46821 
ValueCountFrequency (%)
False 77492
62.3%
True 46821
37.7%
2024-06-08T15:27:02.442611image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNSIGM_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124007 
True
 
306
ValueCountFrequency (%)
False 124007
99.8%
True 306
 
0.2%
2024-06-08T15:27:02.652556image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COLNSIGM_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
116735 
True
 
7578
ValueCountFrequency (%)
False 116735
93.9%
True 7578
 
6.1%
2024-06-08T15:27:02.857466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABTYPE_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124021 
True
 
292
ValueCountFrequency (%)
False 124021
99.8%
True 292
 
0.2%
2024-06-08T15:27:03.073066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

DIABTYPE_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121453 
True
 
2860
ValueCountFrequency (%)
False 121453
97.7%
True 2860
 
2.3%
2024-06-08T15:27:03.288137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123718 
True
 
595
ValueCountFrequency (%)
False 123718
99.5%
True 595
 
0.5%
2024-06-08T15:27:03.497795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121639 
True
 
2674
ValueCountFrequency (%)
False 121639
97.8%
True 2674
 
2.2%
2024-06-08T15:27:03.704885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124281 
True
 
32
ValueCountFrequency (%)
False 124281
> 99.9%
True 32
 
< 0.1%
2024-06-08T15:27:03.915003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124158 
True
 
155
ValueCountFrequency (%)
False 124158
99.9%
True 155
 
0.1%
2024-06-08T15:27:04.127550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVTRT3_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123149 
True
 
1164
ValueCountFrequency (%)
False 123149
99.1%
True 1164
 
0.9%
2024-06-08T15:27:04.345947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCPSARS2_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123398 
True
 
915
ValueCountFrequency (%)
False 123398
99.3%
True 915
 
0.7%
2024-06-08T15:27:04.554752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCPSARS2_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124193 
True
 
120
ValueCountFrequency (%)
False 124193
99.9%
True 120
 
0.1%
2024-06-08T15:27:04.779382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCPSARS2_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124238 
True
 
75
ValueCountFrequency (%)
False 124238
99.9%
True 75
 
0.1%
2024-06-08T15:27:05.000560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSASUGST_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124206 
True
 
107
ValueCountFrequency (%)
False 124206
99.9%
True 107
 
0.1%
2024-06-08T15:27:05.209120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSASUGST_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123387 
True
 
926
ValueCountFrequency (%)
False 123387
99.3%
True 926
 
0.7%
2024-06-08T15:27:05.454564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PSASUGST_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124244 
True
 
69
ValueCountFrequency (%)
False 124244
99.9%
True 69
 
0.1%
2024-06-08T15:27:05.662006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124123 
True
 
190
ValueCountFrequency (%)
False 124123
99.8%
True 190
 
0.2%
2024-06-08T15:27:05.866518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124306 
True
 
7
ValueCountFrequency (%)
False 124306
> 99.9%
True 7
 
< 0.1%
2024-06-08T15:27:06.079628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123743 
True
 
570
ValueCountFrequency (%)
False 123743
99.5%
True 570
 
0.5%
2024-06-08T15:27:06.290903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PCSTALK1_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123461 
True
 
852
ValueCountFrequency (%)
False 123461
99.3%
True 852
 
0.7%
2024-06-08T15:27:06.520213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSXBRTH_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124194 
True
 
119
ValueCountFrequency (%)
False 124194
99.9%
True 119
 
0.1%
2024-06-08T15:27:06.726070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSXBRTH_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124185 
True
 
128
ValueCountFrequency (%)
False 124185
99.9%
True 128
 
0.1%
2024-06-08T15:27:06.935480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
105358 
True
18955 
ValueCountFrequency (%)
False 105358
84.8%
True 18955
 
15.2%
2024-06-08T15:27:07.160761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122439 
True
 
1874
ValueCountFrequency (%)
False 122439
98.5%
True 1874
 
1.5%
2024-06-08T15:27:07.515131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123983 
True
 
330
ValueCountFrequency (%)
False 123983
99.7%
True 330
 
0.3%
2024-06-08T15:27:07.938575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123258 
True
 
1055
ValueCountFrequency (%)
False 123258
99.2%
True 1055
 
0.8%
2024-06-08T15:27:08.334661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123675 
True
 
638
ValueCountFrequency (%)
False 123675
99.5%
True 638
 
0.5%
2024-06-08T15:27:08.672022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSRLTN2_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123981 
True
 
332
ValueCountFrequency (%)
False 123981
99.7%
True 332
 
0.3%
2024-06-08T15:27:09.002210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BIRTHSEX_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113377 
True
 
10936
ValueCountFrequency (%)
False 113377
91.2%
True 10936
 
8.8%
2024-06-08T15:27:09.339107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BIRTHSEX_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
111711 
True
12602 
ValueCountFrequency (%)
False 111711
89.9%
True 12602
 
10.1%
2024-06-08T15:27:09.654406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123439 
True
 
874
ValueCountFrequency (%)
False 123439
99.3%
True 874
 
0.7%
2024-06-08T15:27:10.119654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE_2.0
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
92862 
True
31451 
ValueCountFrequency (%)
False 92862
74.7%
True 31451
 
25.3%
2024-06-08T15:27:10.586251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123494 
True
 
819
ValueCountFrequency (%)
False 123494
99.3%
True 819
 
0.7%
2024-06-08T15:27:11.038044image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOMALE_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123845 
True
 
468
ValueCountFrequency (%)
False 123845
99.6%
True 468
 
0.4%
2024-06-08T15:27:11.487809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123657 
True
 
656
ValueCountFrequency (%)
False 123657
99.5%
True 656
 
0.5%
2024-06-08T15:27:11.922564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
88614 
True
35699 
ValueCountFrequency (%)
False 88614
71.3%
True 35699
28.7%
2024-06-08T15:27:12.363616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122221 
True
 
2092
ValueCountFrequency (%)
False 122221
98.3%
True 2092
 
1.7%
2024-06-08T15:27:12.810078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

SOFEMALE_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123518 
True
 
795
ValueCountFrequency (%)
False 123518
99.4%
True 795
 
0.6%
2024-06-08T15:27:13.251306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TRNSGNDR_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124183 
True
 
130
ValueCountFrequency (%)
False 124183
99.9%
True 130
 
0.1%
2024-06-08T15:27:13.592183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TRNSGNDR_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124162 
True
 
151
ValueCountFrequency (%)
False 124162
99.9%
True 151
 
0.1%
2024-06-08T15:27:13.996624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TRNSGNDR_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124122 
True
 
191
ValueCountFrequency (%)
False 124122
99.8%
True 191
 
0.2%
2024-06-08T15:27:14.345113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
73402 
False
50911 
ValueCountFrequency (%)
True 73402
59.0%
False 50911
41.0%
2024-06-08T15:27:14.794573image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
118509 
True
 
5804
ValueCountFrequency (%)
False 118509
95.3%
True 5804
 
4.7%
2024-06-08T15:27:15.182320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
68722 
True
55591 
ValueCountFrequency (%)
False 68722
55.3%
True 55591
44.7%
2024-06-08T15:27:15.612533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113594 
True
 
10719
ValueCountFrequency (%)
False 113594
91.4%
True 10719
 
8.6%
2024-06-08T15:27:16.080248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
96303 
True
28010 
ValueCountFrequency (%)
False 96303
77.5%
True 28010
 
22.5%
2024-06-08T15:27:16.403185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124176 
True
 
137
ValueCountFrequency (%)
False 124176
99.9%
True 137
 
0.1%
2024-06-08T15:27:16.620436image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
115544 
True
 
8769
ValueCountFrequency (%)
False 115544
92.9%
True 8769
 
7.1%
2024-06-08T15:27:16.825871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124259 
True
 
54
ValueCountFrequency (%)
False 124259
> 99.9%
True 54
 
< 0.1%
2024-06-08T15:27:17.080446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120141 
True
 
4172
ValueCountFrequency (%)
False 120141
96.6%
True 4172
 
3.4%
2024-06-08T15:27:17.283608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123766 
True
 
547
ValueCountFrequency (%)
False 123766
99.6%
True 547
 
0.4%
2024-06-08T15:27:17.492575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120624 
True
 
3689
ValueCountFrequency (%)
False 120624
97.0%
True 3689
 
3.0%
2024-06-08T15:27:17.695371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

PRIMINSR_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121403 
True
 
2910
ValueCountFrequency (%)
False 121403
97.7%
True 2910
 
2.3%
2024-06-08T15:27:17.913970image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
67968 
False
56345 
ValueCountFrequency (%)
True 67968
54.7%
False 56345
45.3%
2024-06-08T15:27:18.136703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
109957 
True
14356 
ValueCountFrequency (%)
False 109957
88.5%
True 14356
 
11.5%
2024-06-08T15:27:18.382677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARITAL_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
115388 
True
 
8925
ValueCountFrequency (%)
False 115388
92.8%
True 8925
 
7.2%
2024-06-08T15:27:18.625819image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARITAL_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121750 
True
 
2563
ValueCountFrequency (%)
False 121750
97.9%
True 2563
 
2.1%
2024-06-08T15:27:18.859711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
100925 
True
23388 
ValueCountFrequency (%)
False 100925
81.2%
True 23388
 
18.8%
2024-06-08T15:27:19.107364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

MARITAL_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
118066 
True
 
6247
ValueCountFrequency (%)
False 118066
95.0%
True 6247
 
5.0%
2024-06-08T15:27:19.319139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
True
66062 
False
58251 
ValueCountFrequency (%)
True 66062
53.1%
False 58251
46.9%
2024-06-08T15:27:19.531370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113568 
True
 
10745
ValueCountFrequency (%)
False 113568
91.4%
True 10745
 
8.6%
2024-06-08T15:27:19.743943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122199 
True
 
2114
ValueCountFrequency (%)
False 122199
98.3%
True 2114
 
1.7%
2024-06-08T15:27:19.965877image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121771 
True
 
2542
ValueCountFrequency (%)
False 121771
98.0%
True 2542
 
2.0%
2024-06-08T15:27:20.193741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119659 
True
 
4654
ValueCountFrequency (%)
False 119659
96.3%
True 4654
 
3.7%
2024-06-08T15:27:20.397451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120301 
True
 
4012
ValueCountFrequency (%)
False 120301
96.8%
True 4012
 
3.2%
2024-06-08T15:27:20.599311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
97743 
True
26570 
ValueCountFrequency (%)
False 97743
78.6%
True 26570
 
21.4%
2024-06-08T15:27:20.811344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

EMPLOY1_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
117675 
True
 
6638
ValueCountFrequency (%)
False 117675
94.7%
True 6638
 
5.3%
2024-06-08T15:27:21.022405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSGEND1_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
112491 
True
11822 
ValueCountFrequency (%)
False 112491
90.5%
True 11822
 
9.5%
2024-06-08T15:27:21.253039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSGEND1_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
113271 
True
 
11042
ValueCountFrequency (%)
False 113271
91.1%
True 11042
 
8.9%
2024-06-08T15:27:21.464330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RCSGEND1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124255 
True
 
58
ValueCountFrequency (%)
False 124255
> 99.9%
True 58
 
< 0.1%
2024-06-08T15:27:21.675162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
117241 
True
 
7072
ValueCountFrequency (%)
False 117241
94.3%
True 7072
 
5.7%
2024-06-08T15:27:21.894866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121749 
True
 
2564
ValueCountFrequency (%)
False 121749
97.9%
True 2564
 
2.1%
2024-06-08T15:27:22.132482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119541 
True
 
4772
ValueCountFrequency (%)
False 119541
96.2%
True 4772
 
3.8%
2024-06-08T15:27:22.366331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122935 
True
 
1378
ValueCountFrequency (%)
False 122935
98.9%
True 1378
 
1.1%
2024-06-08T15:27:22.590001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123589 
True
 
724
ValueCountFrequency (%)
False 123589
99.4%
True 724
 
0.6%
2024-06-08T15:27:22.809629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123904 
True
 
409
ValueCountFrequency (%)
False 123904
99.7%
True 409
 
0.3%
2024-06-08T15:27:23.033481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123991 
True
 
322
ValueCountFrequency (%)
False 123991
99.7%
True 322
 
0.3%
2024-06-08T15:27:23.272637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124070 
True
 
243
ValueCountFrequency (%)
False 124070
99.8%
True 243
 
0.2%
2024-06-08T15:27:23.482319image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122960 
True
 
1353
ValueCountFrequency (%)
False 122960
98.9%
True 1353
 
1.1%
2024-06-08T15:27:23.695025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
120079 
True
 
4234
ValueCountFrequency (%)
False 120079
96.6%
True 4234
 
3.4%
2024-06-08T15:27:23.907947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

COVIDPRM_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121802 
True
 
2511
ValueCountFrequency (%)
False 121802
98.0%
True 2511
 
2.0%
2024-06-08T15:27:24.119885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123462 
True
 
851
ValueCountFrequency (%)
False 123462
99.3%
True 851
 
0.7%
2024-06-08T15:27:24.338231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124242 
True
 
71
ValueCountFrequency (%)
False 124242
99.9%
True 71
 
0.1%
2024-06-08T15:27:24.545149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124196 
True
 
117
ValueCountFrequency (%)
False 124196
99.9%
True 117
 
0.1%
2024-06-08T15:27:24.754269image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124302 
True
 
11
ValueCountFrequency (%)
False 124302
> 99.9%
True 11
 
< 0.1%
2024-06-08T15:27:24.965497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123128 
True
 
1185
ValueCountFrequency (%)
False 123128
99.0%
True 1185
 
1.0%
2024-06-08T15:27:25.176669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124168 
True
 
145
ValueCountFrequency (%)
False 124168
99.9%
True 145
 
0.1%
2024-06-08T15:27:25.390832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124312 
True
 
1
ValueCountFrequency (%)
False 124312
> 99.9%
True 1
 
< 0.1%
2024-06-08T15:27:25.599447image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124138 
True
 
175
ValueCountFrequency (%)
False 124138
99.9%
True 175
 
0.1%
2024-06-08T15:27:25.802831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124269 
True
 
44
ValueCountFrequency (%)
False 124269
> 99.9%
True 44
 
< 0.1%
2024-06-08T15:27:26.011828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124290 
True
 
23
ValueCountFrequency (%)
False 124290
> 99.9%
True 23
 
< 0.1%
2024-06-08T15:27:26.221897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

IMFVPLA3_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124305 
True
 
8
ValueCountFrequency (%)
False 124305
> 99.9%
True 8
 
< 0.1%
2024-06-08T15:27:26.569745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124238 
True
 
75
ValueCountFrequency (%)
False 124238
99.9%
True 75
 
0.1%
2024-06-08T15:27:26.931505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124282 
True
 
31
ValueCountFrequency (%)
False 124282
> 99.9%
True 31
 
< 0.1%
2024-06-08T15:27:27.263001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124291 
True
 
22
ValueCountFrequency (%)
False 124291
> 99.9%
True 22
 
< 0.1%
2024-06-08T15:27:27.632165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124294 
True
 
19
ValueCountFrequency (%)
False 124294
> 99.9%
True 19
 
< 0.1%
2024-06-08T15:27:28.032707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123573 
True
 
740
ValueCountFrequency (%)
False 123573
99.4%
True 740
 
0.6%
2024-06-08T15:27:28.454243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124117 
True
 
196
ValueCountFrequency (%)
False 124117
99.8%
True 196
 
0.2%
2024-06-08T15:27:28.848822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124152 
True
 
161
ValueCountFrequency (%)
False 124152
99.9%
True 161
 
0.1%
2024-06-08T15:27:29.143351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124305 
True
 
8
ValueCountFrequency (%)
False 124305
> 99.9%
True 8
 
< 0.1%
2024-06-08T15:27:29.596431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124311 
True
 
2
ValueCountFrequency (%)
False 124311
> 99.9%
True 2
 
< 0.1%
2024-06-08T15:27:30.021255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124228 
True
 
85
ValueCountFrequency (%)
False 124228
99.9%
True 85
 
0.1%
2024-06-08T15:27:30.439558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124308 
True
 
5
ValueCountFrequency (%)
False 124308
> 99.9%
True 5
 
< 0.1%
2024-06-08T15:27:30.836526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124239 
True
 
74
ValueCountFrequency (%)
False 124239
99.9%
True 74
 
0.1%
2024-06-08T15:27:31.198678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_13.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124293 
True
 
20
ValueCountFrequency (%)
False 124293
> 99.9%
True 20
 
< 0.1%
2024-06-08T15:27:31.530184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_14.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124194 
True
 
119
ValueCountFrequency (%)
False 124194
99.9%
True 119
 
0.1%
2024-06-08T15:27:31.940379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_15.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124179 
True
 
134
ValueCountFrequency (%)
False 124179
99.9%
True 134
 
0.1%
2024-06-08T15:27:32.382103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_16.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123547 
True
 
766
ValueCountFrequency (%)
False 123547
99.4%
True 766
 
0.6%
2024-06-08T15:27:32.702019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_17.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124302 
True
 
11
ValueCountFrequency (%)
False 124302
> 99.9%
True 11
 
< 0.1%
2024-06-08T15:27:33.150646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_18.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124263 
True
 
50
ValueCountFrequency (%)
False 124263
> 99.9%
True 50
 
< 0.1%
2024-06-08T15:27:33.591184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_19.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124291 
True
 
22
ValueCountFrequency (%)
False 124291
> 99.9%
True 22
 
< 0.1%
2024-06-08T15:27:34.048493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_20.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123861 
True
 
452
ValueCountFrequency (%)
False 123861
99.6%
True 452
 
0.4%
2024-06-08T15:27:34.483633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_21.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124295 
True
 
18
ValueCountFrequency (%)
False 124295
> 99.9%
True 18
 
< 0.1%
2024-06-08T15:27:34.910263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_22.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122554 
True
 
1759
ValueCountFrequency (%)
False 122554
98.6%
True 1759
 
1.4%
2024-06-08T15:27:35.342328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_23.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123926 
True
 
387
ValueCountFrequency (%)
False 123926
99.7%
True 387
 
0.3%
2024-06-08T15:27:35.786667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_24.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124309 
True
 
4
ValueCountFrequency (%)
False 124309
> 99.9%
True 4
 
< 0.1%
2024-06-08T15:27:36.041426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_25.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124293 
True
 
20
ValueCountFrequency (%)
False 124293
> 99.9%
True 20
 
< 0.1%
2024-06-08T15:27:36.250849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_26.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124283 
True
 
30
ValueCountFrequency (%)
False 124283
> 99.9%
True 30
 
< 0.1%
2024-06-08T15:27:36.453284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_27.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124285 
True
 
28
ValueCountFrequency (%)
False 124285
> 99.9%
True 28
 
< 0.1%
2024-06-08T15:27:36.657498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_28.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124176 
True
 
137
ValueCountFrequency (%)
False 124176
99.9%
True 137
 
0.1%
2024-06-08T15:27:36.868066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_29.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124200 
True
 
113
ValueCountFrequency (%)
False 124200
99.9%
True 113
 
0.1%
2024-06-08T15:27:37.093530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CNCRTYP2_30.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123942 
True
 
371
ValueCountFrequency (%)
False 123942
99.7%
True 371
 
0.3%
2024-06-08T15:27:37.300827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124221 
True
 
92
ValueCountFrequency (%)
False 124221
99.9%
True 92
 
0.1%
2024-06-08T15:27:37.503604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123259 
True
 
1054
ValueCountFrequency (%)
False 123259
99.2%
True 1054
 
0.8%
2024-06-08T15:27:37.713645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124273 
True
 
40
ValueCountFrequency (%)
False 124273
> 99.9%
True 40
 
< 0.1%
2024-06-08T15:27:37.948871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124249 
True
 
64
ValueCountFrequency (%)
False 124249
99.9%
True 64
 
0.1%
2024-06-08T15:27:38.163219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123591 
True
 
722
ValueCountFrequency (%)
False 123591
99.4%
True 722
 
0.6%
2024-06-08T15:27:38.367413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124297 
True
 
16
ValueCountFrequency (%)
False 124297
> 99.9%
True 16
 
< 0.1%
2024-06-08T15:27:38.572320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124171 
True
 
142
ValueCountFrequency (%)
False 124171
99.9%
True 142
 
0.1%
2024-06-08T15:27:38.785982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124294 
True
 
19
ValueCountFrequency (%)
False 124294
> 99.9%
True 19
 
< 0.1%
2024-06-08T15:27:39.013969image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124263 
True
 
50
ValueCountFrequency (%)
False 124263
> 99.9%
True 50
 
< 0.1%
2024-06-08T15:27:39.220534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CSRVDOC1_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123908 
True
 
405
ValueCountFrequency (%)
False 123908
99.7%
True 405
 
0.3%
2024-06-08T15:27:39.422019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122877 
True
 
1436
ValueCountFrequency (%)
False 122877
98.8%
True 1436
 
1.2%
2024-06-08T15:27:39.627866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123778 
True
 
535
ValueCountFrequency (%)
False 123778
99.6%
True 535
 
0.4%
2024-06-08T15:27:39.828018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124046 
True
 
267
ValueCountFrequency (%)
False 124046
99.8%
True 267
 
0.2%
2024-06-08T15:27:40.075920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124213 
True
 
100
ValueCountFrequency (%)
False 124213
99.9%
True 100
 
0.1%
2024-06-08T15:27:40.300481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123602 
True
 
711
ValueCountFrequency (%)
False 123602
99.4%
True 711
 
0.6%
2024-06-08T15:27:40.502300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123716 
True
 
597
ValueCountFrequency (%)
False 123716
99.5%
True 597
 
0.5%
2024-06-08T15:27:40.709330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123767 
True
 
546
ValueCountFrequency (%)
False 123767
99.6%
True 546
 
0.4%
2024-06-08T15:27:40.918186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124229 
True
 
84
ValueCountFrequency (%)
False 124229
99.9%
True 84
 
0.1%
2024-06-08T15:27:41.131599image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124111 
True
 
202
ValueCountFrequency (%)
False 124111
99.8%
True 202
 
0.2%
2024-06-08T15:27:41.335398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124056 
True
 
257
ValueCountFrequency (%)
False 124056
99.8%
True 257
 
0.2%
2024-06-08T15:27:41.536900image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124049 
True
 
264
ValueCountFrequency (%)
False 124049
99.8%
True 264
 
0.2%
2024-06-08T15:27:41.743212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124222 
True
 
91
ValueCountFrequency (%)
False 124222
99.9%
True 91
 
0.1%
2024-06-08T15:27:41.963919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_13.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124238 
True
 
75
ValueCountFrequency (%)
False 124238
99.9%
True 75
 
0.1%
2024-06-08T15:27:42.195676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_14.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123885 
True
 
428
ValueCountFrequency (%)
False 123885
99.7%
True 428
 
0.3%
2024-06-08T15:27:42.404346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVREL4_15.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123439 
True
 
874
ValueCountFrequency (%)
False 123439
99.3%
True 874
 
0.7%
2024-06-08T15:27:42.606359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124116 
True
 
197
ValueCountFrequency (%)
False 124116
99.8%
True 197
 
0.2%
2024-06-08T15:27:42.819350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124286 
True
 
27
ValueCountFrequency (%)
False 124286
> 99.9%
True 27
 
< 0.1%
2024-06-08T15:27:43.023135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123814 
True
 
499
ValueCountFrequency (%)
False 123814
99.6%
True 499
 
0.4%
2024-06-08T15:27:43.253200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124102 
True
 
211
ValueCountFrequency (%)
False 124102
99.8%
True 211
 
0.2%
2024-06-08T15:27:43.464493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123637 
True
 
676
ValueCountFrequency (%)
False 123637
99.5%
True 676
 
0.5%
2024-06-08T15:27:43.670405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123963 
True
 
350
ValueCountFrequency (%)
False 123963
99.7%
True 350
 
0.3%
2024-06-08T15:27:43.878309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124035 
True
 
278
ValueCountFrequency (%)
False 124035
99.8%
True 278
 
0.2%
2024-06-08T15:27:44.090081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123807 
True
 
506
ValueCountFrequency (%)
False 123807
99.6%
True 506
 
0.4%
2024-06-08T15:27:44.303614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124307 
True
 
6
ValueCountFrequency (%)
False 124307
> 99.9%
True 6
 
< 0.1%
2024-06-08T15:27:44.507143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124007 
True
 
306
ValueCountFrequency (%)
False 124007
99.8%
True 306
 
0.2%
2024-06-08T15:27:44.716133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124139 
True
 
174
ValueCountFrequency (%)
False 124139
99.9%
True 174
 
0.1%
2024-06-08T15:27:44.929438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124285 
True
 
28
ValueCountFrequency (%)
False 124285
> 99.9%
True 28
 
< 0.1%
2024-06-08T15:27:45.137646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_13.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123969 
True
 
344
ValueCountFrequency (%)
False 123969
99.7%
True 344
 
0.3%
2024-06-08T15:27:45.361305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_14.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123515 
True
 
798
ValueCountFrequency (%)
False 123515
99.4%
True 798
 
0.6%
2024-06-08T15:27:45.565755image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

CRGVPRB3_15.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122532 
True
 
1781
ValueCountFrequency (%)
False 122532
98.6%
True 1781
 
1.4%
2024-06-08T15:27:45.784346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123591 
True
 
722
ValueCountFrequency (%)
False 123591
99.4%
True 722
 
0.6%
2024-06-08T15:27:46.088087image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123624 
True
 
689
ValueCountFrequency (%)
False 123624
99.4%
True 689
 
0.6%
2024-06-08T15:27:46.417547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124144 
True
 
169
ValueCountFrequency (%)
False 124144
99.9%
True 169
 
0.1%
2024-06-08T15:27:46.706016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123370 
True
 
943
ValueCountFrequency (%)
False 123370
99.2%
True 943
 
0.8%
2024-06-08T15:27:47.104542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124227 
True
 
86
ValueCountFrequency (%)
False 124227
99.9%
True 86
 
0.1%
2024-06-08T15:27:47.435176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123256 
True
 
1057
ValueCountFrequency (%)
False 123256
99.1%
True 1057
 
0.9%
2024-06-08T15:27:47.826495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123476 
True
 
837
ValueCountFrequency (%)
False 123476
99.3%
True 837
 
0.7%
2024-06-08T15:27:48.148157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124304 
True
 
9
ValueCountFrequency (%)
False 124304
> 99.9%
True 9
 
< 0.1%
2024-06-08T15:27:48.536992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124238 
True
 
75
ValueCountFrequency (%)
False 124238
99.9%
True 75
 
0.1%
2024-06-08T15:27:48.902071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123980 
True
 
333
ValueCountFrequency (%)
False 123980
99.7%
True 333
 
0.3%
2024-06-08T15:27:49.316624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124295 
True
 
18
ValueCountFrequency (%)
False 124295
> 99.9%
True 18
 
< 0.1%
2024-06-08T15:27:49.751866image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

TYPCNTR9_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124166 
True
 
147
ValueCountFrequency (%)
False 124166
99.9%
True 147
 
0.1%
2024-06-08T15:27:50.190249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_0.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121156 
True
 
3157
ValueCountFrequency (%)
False 121156
97.5%
True 3157
 
2.5%
2024-06-08T15:27:50.643974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124186 
True
 
127
ValueCountFrequency (%)
False 124186
99.9%
True 127
 
0.1%
2024-06-08T15:27:51.105891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124128 
True
 
185
ValueCountFrequency (%)
False 124128
99.9%
True 185
 
0.1%
2024-06-08T15:27:51.548048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124273 
True
 
40
ValueCountFrequency (%)
False 124273
> 99.9%
True 40
 
< 0.1%
2024-06-08T15:27:51.981093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124069 
True
 
244
ValueCountFrequency (%)
False 124069
99.8%
True 244
 
0.2%
2024-06-08T15:27:52.417621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124293 
True
 
20
ValueCountFrequency (%)
False 124293
> 99.9%
True 20
 
< 0.1%
2024-06-08T15:27:52.856977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123991 
True
 
322
ValueCountFrequency (%)
False 123991
99.7%
True 322
 
0.3%
2024-06-08T15:27:53.290525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123837 
True
 
476
ValueCountFrequency (%)
False 123837
99.6%
True 476
 
0.4%
2024-06-08T15:27:53.728509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124309 
True
 
4
ValueCountFrequency (%)
False 124309
> 99.9%
True 4
 
< 0.1%
2024-06-08T15:27:54.177454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124250 
True
 
63
ValueCountFrequency (%)
False 124250
99.9%
True 63
 
0.1%
2024-06-08T15:27:54.655902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124051 
True
 
262
ValueCountFrequency (%)
False 124051
99.8%
True 262
 
0.2%
2024-06-08T15:27:54.939408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124286 
True
 
27
ValueCountFrequency (%)
False 124286
> 99.9%
True 27
 
< 0.1%
2024-06-08T15:27:55.178752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BRTHCNT4_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124214 
True
 
99
ValueCountFrequency (%)
False 124214
99.9%
True 99
 
0.1%
2024-06-08T15:27:55.392204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122025 
True
 
2288
ValueCountFrequency (%)
False 122025
98.2%
True 2288
 
1.8%
2024-06-08T15:27:55.645412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124091 
True
 
222
ValueCountFrequency (%)
False 124091
99.8%
True 222
 
0.2%
2024-06-08T15:27:55.948677image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124142 
True
 
171
ValueCountFrequency (%)
False 124142
99.9%
True 171
 
0.1%
2024-06-08T15:27:56.302143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124295 
True
 
18
ValueCountFrequency (%)
False 124295
> 99.9%
True 18
 
< 0.1%
2024-06-08T15:27:56.690099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123649 
True
 
664
ValueCountFrequency (%)
False 123649
99.5%
True 664
 
0.5%
2024-06-08T15:27:57.095902image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124307 
True
 
6
ValueCountFrequency (%)
False 124307
> 99.9%
True 6
 
< 0.1%
2024-06-08T15:27:57.486624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123659 
True
 
654
ValueCountFrequency (%)
False 123659
99.5%
True 654
 
0.5%
2024-06-08T15:27:57.845551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124269 
True
 
44
ValueCountFrequency (%)
False 124269
> 99.9%
True 44
 
< 0.1%
2024-06-08T15:27:58.207455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124254 
True
 
59
ValueCountFrequency (%)
False 124254
> 99.9%
True 59
 
< 0.1%
2024-06-08T15:27:58.586278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

WHEREGET_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124143 
True
 
170
ValueCountFrequency (%)
False 124143
99.9%
True 170
 
0.1%
2024-06-08T15:27:58.884200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124279 
True
 
34
ValueCountFrequency (%)
False 124279
> 99.9%
True 34
 
< 0.1%
2024-06-08T15:27:59.258415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124223 
True
 
90
ValueCountFrequency (%)
False 124223
99.9%
True 90
 
0.1%
2024-06-08T15:27:59.685152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123965 
True
 
348
ValueCountFrequency (%)
False 123965
99.7%
True 348
 
0.3%
2024-06-08T15:28:00.127449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124217 
True
 
96
ValueCountFrequency (%)
False 124217
99.9%
True 96
 
0.1%
2024-06-08T15:28:00.586518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124285 
True
 
28
ValueCountFrequency (%)
False 124285
> 99.9%
True 28
 
< 0.1%
2024-06-08T15:28:01.077837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124306 
True
 
7
ValueCountFrequency (%)
False 124306
> 99.9%
True 7
 
< 0.1%
2024-06-08T15:28:01.545111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124105 
True
 
208
ValueCountFrequency (%)
False 124105
99.8%
True 208
 
0.2%
2024-06-08T15:28:02.001729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124294 
True
 
19
ValueCountFrequency (%)
False 124294
> 99.9%
True 19
 
< 0.1%
2024-06-08T15:28:02.443243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124054 
True
 
259
ValueCountFrequency (%)
False 124054
99.8%
True 259
 
0.2%
2024-06-08T15:28:02.880093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124265 
True
 
48
ValueCountFrequency (%)
False 124265
> 99.9%
True 48
 
< 0.1%
2024-06-08T15:28:03.316715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124300 
True
 
13
ValueCountFrequency (%)
False 124300
> 99.9%
True 13
 
< 0.1%
2024-06-08T15:28:03.759846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_13.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124311 
True
 
2
ValueCountFrequency (%)
False 124311
> 99.9%
True 2
 
< 0.1%
2024-06-08T15:28:04.224177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

NOBCUSE8_14.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124057 
True
 
256
ValueCountFrequency (%)
False 124057
99.8%
True 256
 
0.2%
2024-06-08T15:28:04.469657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_1.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123745 
True
 
568
ValueCountFrequency (%)
False 123745
99.5%
True 568
 
0.5%
2024-06-08T15:28:04.679330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123634 
True
 
679
ValueCountFrequency (%)
False 123634
99.5%
True 679
 
0.5%
2024-06-08T15:28:05.010370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124112 
True
 
201
ValueCountFrequency (%)
False 124112
99.8%
True 201
 
0.2%
2024-06-08T15:28:05.333143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123173 
True
 
1140
ValueCountFrequency (%)
False 123173
99.1%
True 1140
 
0.9%
2024-06-08T15:28:05.697023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124079 
True
 
234
ValueCountFrequency (%)
False 124079
99.8%
True 234
 
0.2%
2024-06-08T15:28:06.104276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
122974 
True
 
1339
ValueCountFrequency (%)
False 122974
98.9%
True 1339
 
1.1%
2024-06-08T15:28:06.502664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123741 
True
 
572
ValueCountFrequency (%)
False 123741
99.5%
True 572
 
0.5%
2024-06-08T15:28:06.919327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124292 
True
 
21
ValueCountFrequency (%)
False 124292
> 99.9%
True 21
 
< 0.1%
2024-06-08T15:28:07.303416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_9.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124242 
True
 
71
ValueCountFrequency (%)
False 124242
99.9%
True 71
 
0.1%
2024-06-08T15:28:07.610596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_10.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124229 
True
 
84
ValueCountFrequency (%)
False 124229
99.9%
True 84
 
0.1%
2024-06-08T15:28:08.026198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_11.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124304 
True
 
9
ValueCountFrequency (%)
False 124304
> 99.9%
True 9
 
< 0.1%
2024-06-08T15:28:08.450582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_12.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124126 
True
 
187
ValueCountFrequency (%)
False 124126
99.8%
True 187
 
0.2%
2024-06-08T15:28:08.899315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_13.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123651 
True
 
662
ValueCountFrequency (%)
False 123651
99.5%
True 662
 
0.5%
2024-06-08T15:28:09.335799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

BCPREFER_14.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123753 
True
 
560
ValueCountFrequency (%)
False 123753
99.5%
True 560
 
0.5%
2024-06-08T15:28:09.765169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
84877 
True
39436 
ValueCountFrequency (%)
False 84877
68.3%
True 39436
31.7%
2024-06-08T15:28:10.202843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_2.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
119933 
True
 
4380
ValueCountFrequency (%)
False 119933
96.5%
True 4380
 
3.5%
2024-06-08T15:28:10.651576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_3.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
121469 
True
 
2844
ValueCountFrequency (%)
False 121469
97.7%
True 2844
 
2.3%
2024-06-08T15:28:11.091865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_4.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123431 
True
 
882
ValueCountFrequency (%)
False 123431
99.3%
True 882
 
0.7%
2024-06-08T15:28:11.575045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_5.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124228 
True
 
85
ValueCountFrequency (%)
False 124228
99.9%
True 85
 
0.1%
2024-06-08T15:28:13.762593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_6.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123683 
True
 
630
ValueCountFrequency (%)
False 123683
99.5%
True 630
 
0.5%
2024-06-08T15:28:13.987580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_7.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
124006 
True
 
307
ValueCountFrequency (%)
False 124006
99.8%
True 307
 
0.2%
2024-06-08T15:28:14.195624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

RRCLASS3_8.0
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.1 MiB
False
123780 
True
 
533
ValueCountFrequency (%)
False 123780
99.6%
True 533
 
0.4%
2024-06-08T15:28:14.411392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Distinct409
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 MiB
Minimum2022-01-04 00:00:00
Maximum2023-02-17 00:00:00
2024-06-08T15:28:14.633463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-06-08T15:28:14.948118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)